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Researcher · Northeastern University · United States

Sijia S. Dong

Sijia S. Dong publishes mostly in Atomic and Molecular Physics, and Optics, Molecular Biology and Materials Chemistry, on topics such as Advanced Chemical Physics Studies, Spectroscopy and Quantum Chemical Studies and Machine Learning in Materials Science.

ORCID 0000-0001-8182-6522 OpenAlex
World rank
#2,201,487
of 7,710,434 ranked researchers
Rank in United States
#660,454
of 1,627,098
Works
70
Citations
2k
Citations per work
28.9
h-index
15
i10-index 17Top 36% in Atomic and Molecular Physics, and Optics
Sijia S. Dong

What does Sijia S. Dong research?

Sijia S. Dong's work is mostly in Physics and Astronomy (19%), Biochemistry, Genetics and Molecular Biology (16%), Chemistry (12%).

Physical Sciences: 30 works · 43.3% of their workPhysics and Astronomy: 13 works · 18.7% of their workAtomic and Molecular Physics, and Optics: 13 works · 18.7% of their workChemistry: 8 works · 12.0% of their workOrganic Chemistry: 4 works · 6.0% of their workSpectroscopy: 4 works · 6.0% of their workMaterials Science: 5 works · 6.6% of their workMaterials Chemistry: 5 works · 6.6% of their workEnergy: 4 works · 6.0% of their workRenewable Energy, Sustainability and the Environment: 4 works · 6.0% of their workEverything else: 28 works · 40.2% of their workLife Sciences: 12 works · 16.5% of their workBiochemistry, Genetics and Molecular Biology: 12 works · 16.5% of their workMolecular Biology: 12 works · 16.5% of their workTHEIR WORKSijia S. Dong70works
Life Sciences16%Physical Sciences43%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Physics and Astronomy1318.7%
    2. Chemistry812.0%
    3. Materials Science56.6%
    4. Energy46.0%
  2. Everything else2840.2%
    1. Biochemistry, Genetics and Molecular Biology1216.5%
  1. 1Atomic and Molecular Physics, and Optics19% of their works
  2. 2Molecular Biology16% of their works
  3. 3Materials Chemistry7% of their works
  4. 4Organic Chemistry6% of their works
  5. 5Spectroscopy6% of their works
  6. 6Renewable Energy, Sustainability and the Environment6% of their works

Research topics

Which keywords describe Sijia S. Dong's research?

The keywords of their largest research topics: Molecular Dynamics, Density Functional Theory, Dispersion Correction, Photosynthesis, Quantum Coherence, Machine Learning, Materials Informatics and Dioxygen Activation.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Molecular Dynamics202 topics
  2. Density Functional Theory181 topic
  3. Dispersion Correction181 topic
  4. Photosynthesis111 topic
  5. Quantum Coherence111 topic
  6. Machine Learning91 topic
  7. Materials Informatics91 topic
  8. DNA nanotechnology61 topic
  9. Dioxygen Activation61 topic
  10. Metalloenzyme61 topic
  11. Organic Synthesis61 topic
  12. RNA Interference61 topic
  13. Self-Assembly61 topic
  14. Visible Light Photoredox Catalysis61 topic
  15. siRNA Delivery61 topic
  16. Crystal Structure51 topic
  17. G-Protein-Coupled Receptors51 topic

Where does Sijia S. Dong work?

Sijia S. Dong's main affiliation in the publication record is Northeastern University, United States.

How many publications and citations does Sijia S. Dong have?

OpenAlex counts 70 works and 2,020 citations for Sijia S. Dong, an h-index of 15, ranking #2,201,487 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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