Berkeley College vs Ji Hua Laboratory
On research quality in 2022-now, Berkeley College ranks #963 in the world and Ji Hua Laboratory #966, of 22,385 institutions. Berkeley College stands higher in 4 of the 8 fields both publish in, Ji Hua Laboratory in 4.
Compare other institutions
Berkeley College
- World rank, 2022-now
- #963
- #503 all time
- Works, 2022-now
- 1.2k
- fractional
- Top-10% rate
- 13.3%
- share of its work among the world's most cited
- Open access
- 54%
- of its works free to read
Strongest relative focus: Fuel Technology, General Psychology, Computational Mathematics.
Ji Hua Laboratory
- World rank, 2022-now
- #966
- #1,137 all time
- Works, 2022-now
- 1.8k
- fractional
- Top-10% rate
- 15.5%
- share of its work among the world's most cited
- Open access
- 30%
- of its works free to read
Strongest relative focus: Process Chemistry and Technology, Catalysis, Chemical Engineering.
Who leads, measure by measure?
Berkeley College leads on 4 of 8 measures: research quality, citations per work, open access and international co-authorship. Ji Hua Laboratory leads on 4 of 8 measures: citation excellence for its fields, output, top-10% rate and growth.
- #963Research qualityworld rank of 22,385 institutions, 2022-now#966
- 0.98×Citation excellence for its fieldsits top-10% rate against what its topics predict; 1.00× is as expected1.25×
- 1.2kOutputfractional works, 2022-now1.8k
- 13.3%Top-10% rateshare of its works among the world's most cited15.5%
- 34.4Citations per workall time, per fractional work19.1
- 54%Open accessof its works free to read, all time30%
- 18%Internationalof its works written with co-authors abroad, all time16%
- +12%Growthworks in 2022-25 against 2018-21; half a bar is no change+445%
A rank is drawn as its standing: the longer the bar, the nearer the top. Anything else is drawn against the larger of the two, and two values a hair apart are called level. Quality, citation excellence and the top-10% rate are explained in the methodology.
Who leads in each field?
Berkeley College stands higher in 4 of 8 fields, Ji Hua Laboratory in 4. Berkeley College leads most in Computer Science (#220 against #1,138); Ji Hua Laboratory leads most in Engineering (#368 against #1,226). Each bar is that side's standing among all institutions ranked in the field: the full bar is first place.
- -Chemistry#324
- #220Computer Science#1,138
- -Energy#279
- #1,226Engineering#368
- #1,027Environmental Science-
- -Materials Science#147
- #2,107Medicine-
- #937Social Sciences-
Standing is the percentile of world rank within each field, 2022-now; the printed number is the rank itself. A dash means the field is too small there to rank. How sides are compared.
The numbers behind each field
Click a heading to sort. The side that does better in a pair of columns is shaded: a lower rank, a higher rate, more works.
| Field | Berkeley College rank | Ji Hua Laboratory rank | Berkeley College top 10% | Ji Hua Laboratory top 10% | Berkeley College works | Ji Hua Laboratory works |
|---|---|---|---|---|---|---|
| Chemistry | - | #324 | - | 17.3% | - | 91 |
| Computer Science | #220 | #1,138 | 23.8% | 14.4% | 220 | 68 |
| Energy | - | #279 | - | 14.0% | - | 94 |
| Engineering | #1,226 | #368 | 9.2% | 15.4% | 155 | 678 |
| Environmental Science | #1,027 | - | 7.5% | - | 61 | - |
| Materials Science | - | #147 | - | 16.9% | - | 345 |
| Medicine | #2,107 | - | 9.3% | - | 67 | - |
| Social Sciences | #937 | - | 9.6% | - | 162 | - |
Where does each put its research?
Not who is better, but what each side chooses to work on. A country or institution that puts twice the world's share of its research into a field sits at 2×, whatever its size.
- Economics, Econometrics and Finance1.8× 0.0×
- Arts and Humanities1.6× 0.0×
- Mathematics1.9× 0.1×
- Social Sciences1.2× 0.0×
- Business, Management and Accounting0.8× 0.0×
- Psychology1.0× 0.1×
- Decision Sciences1.4× 0.1×
- Health Professions0.5× 0.1×
- Computer Science2.7× 0.5×
- Earth and Planetary Sciences0.9× 0.2×
- Environmental Science1.1× 0.5×
- Neuroscience1.5× 0.7×
- Medicine0.3× 0.2×
- Physics and Astronomy1.8× 1.6×
- Biochemistry, Genetics and Molecular Biology0.7× 0.6×
- Nursing0.2× 0.2×
- Agricultural and Biological Sciences0.3× 0.3×
- Dentistry0.1× 0.2×
- Immunology and Microbiology0.3× 0.5×
- Pharmacology, Toxicology and Pharmaceutics0.3× 0.7×
- Engineering0.9× 2.8×
- Chemistry0.7× 3.6×
- Materials Science0.8× 6.1×
- Energy0.8× 6.5×
- Chemical Engineering1.0× 7.8×
Location quotient in 2022-now: the share of each side's research in the field over the world's share. 1× is the world's balance; the axis runs from a quarter of it to four times. Fields where Berkeley College leans further are at the top, Ji Hua Laboratory's at the bottom. How research profiles are compared.
What is each known for?
The keywords that describe each side's research, by fractional works in 2022-now and weighted toward what it does more of than the world.
Berkeley College
- Image Captioning
- Identity-Based Encryption
- Semi-Supervised Learning
- Environmental Movement
- Emotion
- Semantic Similarity
- Text Classification
- Neural Machine Translation
- Convolutional Networks
- Topic Modeling
- Information Retrieval
- Corpus Linguistics
- Literature
- Unsupervised Learning
- Economic Growth
- Conservation
- Artificial Intelligence
- Sustainability
- Climate Change
- Machine Learning
- Deep Learning
- Neural Networks
- Globalization
- Big Data
- Identity
- History
- Ethics
- Gender
- Nationalism
- Representation Learning
- Machine Translation
- Surveillance
- Distributed Systems
- Statistical Machine Translation
- Deep Neural Networks
- Word Representation
- Approximation Algorithms
- Industrial Agriculture
- Homomorphic Encryption
- Public Opinion
All 40 words, with their numbers
- Deep Learning85▲ 2.1×64 topics
- Machine Learning60▲ 1.51×64 topics
- Neural Networks54▲ 3.0×36 topics
- Climate Change37▲ 1.16×68 topics
- Globalization36▲ 1.54×78 topics
- Sustainability29◆ 1.00×49 topics
- Big Data21▲ 1.82×19 topics
- Artificial Intelligence19◆ 1.13×33 topics
- Identity19▲ 2.2×40 topics
- Conservation19▲ 3.6×16 topics
- History17▲ 2.1×26 topics
- Economic Growth17▲ 1.76×22 topics
- Ethics16▲ 2.7×26 topics
- Unsupervised Learning15▲ 8.1×3 topics
- Gender14▲ 2.2×29 topics
- Literature13▲ 1.99×26 topics
- Nationalism12▲ 2.2×17 topics
- Corpus Linguistics11▲ 4.5×4 topics
- Representation Learning11▲ 5.8×3 topics
- Information Retrieval10▲ 4.0×4 topics
- Machine Translation10▲ 5.3×2 topics
- Topic Modeling10▲ 5.8×2 topics
- Surveillance10▲ 3.1×6 topics
- Convolutional Networks10▲ 6.2×3 topics
- Distributed Systems10▲ 4.8×6 topics
- Neural Machine Translation10▲ 8.9×1 topic
- Statistical Machine Translation10▲ 8.9×1 topic
- Text Classification10▲ 5.0×3 topics
- Deep Neural Networks10▲ 6.6×3 topics
- Semantic Similarity9▲ 6.2×1 topic
- Word Representation9▲ 6.2×1 topic
- Emotion9▲ 3.7×12 topics
- Approximation Algorithms8▲ 9.6×5 topics
- Environmental Movement8▲ 89×1 topic
- Industrial Agriculture8▲ 89×1 topic
- Semi-Supervised Learning8▲ 5.5×3 topics
- Homomorphic Encryption8▲ 14×1 topic
- Identity-Based Encryption8▲ 14×1 topic
- Public Opinion8▲ 5.5×6 topics
- Image Captioning7▲ 10×1 topic
Ji Hua Laboratory
- Visible Light
- Ionic Liquids
- Efficiency
- Chemical Sensors
- Zinc Anode
- Solid-State Electrolytes
- Nanostructured Cathodes
- Semiconductor
- Oxygen Reduction
- Sustainable Energy
- Battery Materials
- Fuel Cells
- Energy Conversion
- Lithium-ion Batteries
- Nanoparticles
- Mechanical Properties
- Graphene
- Rechargeable Batteries
- Catalysis
- Energy Storage
- Nanomaterials
- Cathode Materials
- Metal-Organic Frameworks
- Biomedical Applications
- Nanocomposites
- Water Splitting
- Electrocatalysis
- Catalysts
- Battery Technology
- Microstructure
- Nanostructured Anodes
- Hydrogen Evolution
- Lithium-Sulfur Batteries
- Ionic Conductivity
- Semiconductors
- Aqueous Zinc-Ion Batteries
- Bioimaging
- CO2 Reduction
- Crystal Growth
- Nanocrystals
All 40 words, with their numbers
- Nanomaterials145▲ 7.8×18 topics
- Energy Storage141▲ 12×10 topics
- Cathode Materials136▲ 20×3 topics
- Catalysis108▲ 9.0×26 topics
- Metal-Organic Frameworks95▲ 13×6 topics
- Rechargeable Batteries93▲ 20×2 topics
- Biomedical Applications92▲ 4.4×34 topics
- Graphene92▲ 7.6×11 topics
- Nanocomposites87▲ 6.2×21 topics
- Mechanical Properties87▲ 4.9×34 topics
- Water Splitting85▲ 13×4 topics
- Nanoparticles81▲ 3.6×39 topics
- Electrocatalysis79▲ 15×5 topics
- Lithium-ion Batteries78▲ 11×4 topics
- Catalysts67▲ 18×3 topics
- Energy Conversion55▲ 15×4 topics
- Battery Technology52▲ 11×3 topics
- Fuel Cells52▲ 19×2 topics
- Microstructure52▲ 5.6×18 topics
- Battery Materials51▲ 17×1 topic
- Nanostructured Anodes51▲ 17×1 topic
- Sustainable Energy50▲ 15×2 topics
- Hydrogen Evolution50▲ 21×1 topic
- Oxygen Reduction50▲ 21×1 topic
- Lithium-Sulfur Batteries48▲ 19×2 topics
- Semiconductor44▲ 7.6×7 topics
- Ionic Conductivity43▲ 18×2 topics
- Nanostructured Cathodes43▲ 20×1 topic
- Semiconductors43▲ 8.2×5 topics
- Solid-State Electrolytes43▲ 20×1 topic
- Aqueous Zinc-Ion Batteries42▲ 24×1 topic
- Zinc Anode42▲ 24×1 topic
- Bioimaging42▲ 10×6 topics
- Chemical Sensors42▲ 10×3 topics
- CO2 Reduction42▲ 11×2 topics
- Efficiency42▲ 7.8×4 topics
- Crystal Growth41▲ 8.3×12 topics
- Ionic Liquids38▲ 7.6×10 topics
- Nanocrystals38▲ 8.2×5 topics
- Visible Light36▲ 8.6×3 topics
Size is fractional works in the topics tagged with each word; colour is the word's share of the side's work against its share of the world's. Each word links to the topic it comes from most.
How has their output grown?
Ji Hua Laboratory has out-published Berkeley College every year since 2024, when it overtook it.
Fractional works per year.
Their share of all research
Growing output can still be a shrinking share, because all of science grows. Each line is a side as a percentage of every work published that year.
Fractional works over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
The share of each side's works, year by year, that reached the world's 10% most cited for their field and year. The average of all institutions is 10.0% (why not 10%).
A year with under 1% of the side's peak output is left out: a rate over a handful of papers says nothing. The latest years are still being cited.
Which publishes more research, Berkeley College or Ji Hua Laboratory?
Ji Hua Laboratory publishes 1.5× as much research as Berkeley College in 2022-now (1.8k against 1.2k fractional works).
Whose research has more impact, Berkeley College or Ji Hua Laboratory?
15.5% of Ji Hua Laboratory's research reaches the world's top 10% most cited, against 13.3% for Berkeley College.
Is Berkeley College or Ji Hua Laboratory growing faster?
Output in 2022-25 was +445% against 2018-21 for Ji Hua Laboratory, and +12% for Berkeley College.
Which has more open access research, Berkeley College or Ji Hua Laboratory?
54% of Berkeley College's research is free to read, against 30% of Ji Hua Laboratory's.
Who are the top researchers on each side?
The most cited researchers on each side, among those ranked.
Berkeley College
- 1 Klaus Corcilius #490,137 worldwide 840 citations · 77 works
- 2 Chris Harrelson #737,854 worldwide 1.2k citations · 37 works
- 3 Joseph Le Conte #976,918 worldwide 284 citations · 174 works
- 4 Heidi Hoefinger #1,300,720 worldwide 453 citations · 28 works
- 5 Gilbert Newton Lewis #1,310,496 worldwide 11k citations · 332 works
Ji Hua Laboratory
- 1 Hai Bi #705,740 worldwide 1.7k citations · 110 works
- 2 Zhuangwei Shi #759,895 worldwide 403 citations · 26 works
- 3 Jeremy Heng Rao #819,851 worldwide 1.6k citations · 56 works
- 4 Jun Tan #929,667 worldwide 1.3k citations · 43 works
- 5 Dabiao Xia #972,120 worldwide 1.3k citations · 70 works