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Researcher · PLA Information Engineering University · China

Bingchuan Jiang

Bingchuan Jiang publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Geography, Planning and Development, on topics such as Geographic Information Systems Studies, Advanced Graph Neural Networks and Multimodal Machine Learning Applications.

ORCID 0000-0003-1073-094X OpenAlex
World rank
#1,422,862
of 7,710,434 ranked researchers
Rank in China
#210,724
of 978,568
Works
30
Citations
293
Citations per work
9.8
h-index
8
i10-index 7Top 60% in Computer Vision and Pattern Recognition
Bingchuan Jiang

What does Bingchuan Jiang research?

Bingchuan Jiang's work is mostly in Computer Science (45%), Social Sciences (10%).

Physical Sciences: 14 works · 45.5% of their workComputer Science: 14 works · 45.5% of their workArtificial Intelligence: 4 works · 14.4% of their workComputer Vision and Pattern Recognition: 4 works · 14.4% of their workInformation Systems: 2 works · 6.7% of their workHuman-Computer Interaction: 2 works · 5.6% of their workComputer Networks and Communications: 1 works · 4.4% of their workEverything else: 13 works · 44.5% of their workSocial Sciences: 3 works · 10.0% of their workSocial Sciences: 3 works · 10.0% of their workGeography, Planning and Development: 3 works · 10.0% of their workTHEIR WORKBingchuan Jiang30works
Physical Sciences45%Social Sciences10%

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. Computer Science1445.5%
  2. Everything else1344.5%
    1. Social Sciences310.0%
  1. 1Computer Vision and Pattern Recognition14% of their works
  2. 2Artificial Intelligence14% of their works
  3. 3Geography, Planning and Development10% of their works
  4. 4Information Systems7% of their works
  5. 5Human-Computer Interaction6% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Bingchuan Jiang's research?

The keywords of their largest research topics: Deep Learning, Semantic Web, Geospatial Crowdsourcing, Volunteered Geographic Information, Neural Networks, Graph Neural Networks, Image Captioning and Knowledge Graph Embedding.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Deep Learning144 topics
  2. Semantic Web112 topics
  3. Geospatial Crowdsourcing91 topic
  4. Volunteered Geographic Information91 topic
  5. Neural Networks72 topics
  6. Graph Neural Networks41 topic
  7. Image Captioning41 topic
  8. Knowledge Graph Embedding41 topic
  9. Visual Question Answering41 topic
  10. Collaborative Filtering31 topic
  11. Matrix Factorization31 topic
  12. Remote Sensing31 topic
  13. Road Extraction31 topic
  14. Delay-Tolerant Networks21 topic
  15. Linked Data21 topic
  16. Markov Decision Processes21 topic
  17. Mobile Ad Hoc Networks21 topic
  18. Ontology21 topic
  19. Spoken Dialogue Systems21 topic

Where does Bingchuan Jiang work?

Bingchuan Jiang's main affiliation in the publication record is PLA Information Engineering University, China.

How many publications and citations does Bingchuan Jiang have?

OpenAlex counts 30 works and 293 citations for Bingchuan Jiang, an h-index of 8, ranking #1,422,862 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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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