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Company · Beijing · China

Jingdong (China)

In research, Jingdong (China) stands highest in Computer Science (#563 of 4,667 worldwide), Computer Vision and Pattern Recognition (#185 of 941 worldwide) and Physical Sciences (#2,789 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science — Computer Vision and Pattern Recognition is 12.7× its share of world research.

jd.comROR OpenAlex
World rank, 2022–2025
#4,141
of 28,054 · #8,204 all time
Rank in China
#952
of 3,058
Research works
2.2k
▲ 203% vs 2013–17
Citations
31k
13.8 per fractional work
Top-10% rate
26.5%
record average 16.5%
Open access
19%
world 28%

What is Jingdong (China) known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Computer ScienceField #563 of 4,667 30.1%294 #1367
Computer Vision and Pattern RecognitionSubfield #185 of 941 34.6%101 #457
Physical SciencesDomain #2,789 of 12,888 27.3%486 #5642
Artificial IntelligenceSubfield #567 of 1,884 30.0%116 #986
EngineeringField #2,646 of 6,636 20.9%139 #5084
Social SciencesDomain #8,039 of 10,521 22.9%65 #12248

Each strip is that field’s whole ranked pool, with the notch where Jingdong (China) sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Computer Science#1,367 #563
  2. Computer Vision and Pattern Recognition#457 #185
  3. Physical Sciences#5,642 #2,789
  4. Artificial Intelligence#986 #567
  5. Engineering#5,084 #2,646
  6. Social Sciences#12,248 #8,039
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Jingdong (China) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 12.7× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 100.7 works13×
  2. Artificial IntelligenceSubfield · 116.0 works7.6×
  3. Computer ScienceField · 293.8 works6.0×
← less than its size predicts1×more →

Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.

Field profile

Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.

Agricultural and Biological Sciences: 0.37× its world share, 11 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.45× its world share, 15 worksBiochemistry, Geneti…Immunology and Microbiology: 0.44× its world share, 3 worksImmunology and Micro…Neuroscience: 0.56× its world share, 6 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.41× its world share, 1 worksPharmacology, Toxico…Chemical Engineering: 0.29× its world share, 1 worksChemical EngineeringChemistry: 0.28× its world share, 3 worksChemistryComputer Science: 5.98× its world share, 294 worksComputer ScienceEarth and Planetary Sciences: 0.82× its world share, 8 worksEarth and Planetary …Energy: 0.15× its world share, 1 worksEnergyEngineering: 1.47× its world share, 140 worksEngineeringEnvironmental Science: 0.58× its world share, 18 worksEnvironmental ScienceMaterials Science: 0.46× its world share, 10 worksMaterials ScienceMathematics: 0.40× its world share, 3 worksMathematicsPhysics and Astronomy: 0.65× its world share, 9 worksPhysics and AstronomyHealth Professions: 0.20× its world share, 3 worksHealth ProfessionsMedicine: 0.33× its world share, 40 worksMedicineNursing: 0.43× its world share, 1 worksNursingVeterinary: 0.06× its world share, 0 worksVeterinaryArts and Humanities: 0.11× its world share, 2 worksArts and HumanitiesBusiness, Management and Accounting: 0.65× its world share, 13 worksBusiness, Management…Decision Sciences: 2.16× its world share, 13 worksDecision SciencesEconomics, Econometrics and Finance: 0.40× its world share, 5 worksEconomics, Econometr…Psychology: 0.34× its world share, 7 worksPsychologySocial Sciences: 0.30× its world share, 24 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.0×. Every wedge is a field page.

Who are the top researchers at Jingdong (China)?

Ranked on the composite score, Jinfeng Yi, Yingwei Pan and 豊樹 古在 lead among researchers whose main affiliation is Jingdong (China).

  1. 1 Jinfeng Yi China · #19,973 worldwide 901 citations · 49 works
  2. 2 Yingwei Pan China · #47,105 worldwide 564 citations · 47 works
  3. 3 豊樹 古在 China · #169,584 worldwide 0 citations · 66 works
  4. 4 Hailin Shi China · #195,078 worldwide 275 citations · 25 works
  5. 5 Hongshen Chen China · #300,252 worldwide 144 citations · 20 works
  6. 6 Yehao Li China · #318,134 worldwide 118 citations · 17 works
  7. 7 Wu Liu China · #431,021 worldwide 209 citations · 64 works
  8. 8 Yibing Zhan China · #470,615 worldwide 223 citations · 54 works
  9. 9 Yongjun Bao China · #725,575 worldwide 104 citations · 27 works
  10. 10 Xinchen Liu China · #1,105,513 worldwide 52 citations · 24 works
All ranked researchers at Jingdong (China)

Which keywords describe research at Jingdong (China)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Information Retrieval, Representation Learning, Machine Learning, Unsupervised Learning and Semi-Supervised Learning.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.

All 40 words, with their numbers
  1. Deep Learning181▲ 8.4×77 topics
  2. Neural Networks101▲ 10×33 topics
  3. Machine Learning48▲ 2.3×64 topics
  4. Convolutional Neural Networks39▲ 8.4×14 topics
  5. Information Retrieval28▲ 20×4 topics
  6. Representation Learning27▲ 31×3 topics
  7. Unsupervised Learning26▲ 28×3 topics
  8. Semi-Supervised Learning24▲ 34×3 topics
  9. Text Classification21▲ 21×2 topics
  10. Convolutional Networks19▲ 21×3 topics
  11. Meta-Learning17▲ 33×2 topics
  12. Topic Modeling17▲ 18×3 topics
  13. Transfer Learning17▲ 14×3 topics
  14. Machine Translation16▲ 16×2 topics
  15. Semantic Reasoning16▲ 32×2 topics
  16. Visual Question Answering16▲ 32×2 topics
  17. Semantic Similarity16▲ 21×1 topic
  18. Word Representation16▲ 21×1 topic
  19. Image Classification16▲ 14×3 topics
  20. Image Captioning15▲ 49×1 topic
  21. Multimodal Fusion15▲ 49×1 topic
  22. Domain Adaptation15▲ 47×1 topic
  23. Few-Shot Learning15▲ 47×1 topic
  24. Computer Vision15▲ 8.8×4 topics
  25. Collaborative Filtering14▲ 64×1 topic
  26. Matrix Factorization14▲ 64×1 topic
  27. Time Series14▲ 13×3 topics
  28. Anomaly Detection14▲ 7.6×5 topics
  29. Feature Extraction14▲ 4.7×10 topics
  30. Graph Convolutional Networks14▲ 20×2 topics
  31. Image Recognition14▲ 16×2 topics
  32. Object Detection14▲ 17×1 topic
  33. Semantic Segmentation14▲ 17×1 topic
  34. Pose Estimation13▲ 19×3 topics
  35. High-Dimensional Data11▲ 11×3 topics
  36. Action Recognition10▲ 32×1 topic
  37. Spatiotemporal Features10▲ 32×1 topic
  38. Real-time Tracking9▲ 14×2 topics
  39. Outlier Detection9▲ 10×2 topics
  40. Feature Matching9▲ 23×1 topic

Which research topics does Jingdong (China) publish most on?

By volume in 2022–2025: Topic Modeling, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Recommender Systems and Techniques.

Topic Modeling16Topic Modeling: 16 fractional worksMultimodal Machine Learn…15Multimodal Machine Learning Applications: 15 fractional worksDomain Adaptation and Fe…15Domain Adaptation and Few-Shot Learning: 15 fractional worksRecommender Systems and …14Recommender Systems and Techniques: 14 fractional worksAdvanced Neural Network Applications: 14 fractional worksHuman Pose and Action Recognition: 10 fractional worksAdvanced Image and Video…9Advanced Image and Video Retrieval Techniques: 9 fractional worksAnomaly Detection Techni…9Anomaly Detection Techniques and Applications: 9 fractional worksNatural Language Process…8Natural Language Processing Techniques: 8 fractional worksAdvanced Graph Neural Ne…8Advanced Graph Neural Networks: 8 fractional works
Artificial IntelligenceComputer Vision and Pattern RecognitionInformation Systems

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Topic Modeling Artificial Intelligence 16 works
  2. 2 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 15 works
  3. 3 Domain Adaptation and Few-Shot Learning Artificial Intelligence 15 works
  4. 4 Recommender Systems and Techniques Information Systems 14 works
  5. 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 14 works
  6. 6 Human Pose and Action Recognition Computer Vision and Pattern Recognition 10 works
  7. 7 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 9 works
  8. 8 Anomaly Detection Techniques and Applications Artificial Intelligence 9 works
  9. 9 Natural Language Processing Techniques Artificial Intelligence 8 works
  10. 10 Advanced Graph Neural Networks Artificial Intelligence 8 works

How open and international is its research?

Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.

openly available18.7%not open81.3%

World: 28% of research is openly available.

with international co-authors17.3%domestic only82.7%

World: 19% is written across borders.

How has Jingdong (China)'s research output changed?

Output in 2018–2022 was 203% higher than in 2013–2017.

1990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Other research institutions in Beijing

All research institutions in Beijing

Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.