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Researcher · Renmin University of China · China

Ji-Rong Wen

Ji-Rong Wen publishes mostly in Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, on topics such as Topic Modeling, Recommender Systems and Techniques and Natural Language Processing Techniques.

ORCID 0000-0002-9777-9676 OpenAlex
World rank
#8,973
of 7,710,434 ranked researchers
Rank in China
#465
of 978,568
Works
778
Citations
27k
Citations per work
35.0
h-index
78
i10-index 352Top 0.2% in Artificial Intelligence
Ji-Rong Wen

What does Ji-Rong Wen research?

Ji-Rong Wen's work is mostly in Computer Science (86%), Decision Sciences (3%).

Physical Sciences: 668 works · 85.9% of their workComputer Science: 668 works · 85.9% of their workArtificial Intelligence: 334 works · 42.9% of their workInformation Systems: 166 works · 21.4% of their workComputer Vision and Pattern Recognition: 106 works · 13.6% of their workSignal Processing: 37 works · 4.7% of their workComputer Networks and Communications: 26 works · 3.3% of their workEverything else: 90 works · 11.6% of their workSocial Sciences: 19 works · 2.5% of their workDecision Sciences: 19 works · 2.5% of their workManagement Science and Operations Research: 19 works · 2.5% of their workTHEIR WORKJi-Rong Wen778works
Physical Sciences86%Social Sciences3%

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 Science66885.9%
  2. Everything else9011.6%
    1. Decision Sciences192.5%
  1. 1Artificial Intelligence43% of their works
  2. 2Information Systems21% of their works
  3. 3Computer Vision and Pattern Recognition14% of their works
  4. 4Signal Processing5% of their works
  5. 5Computer Networks and Communications3% of their works
  6. 6Management Science and Operations Research2% of their works

Research topics

Which keywords describe Ji-Rong Wen's research?

The keywords of their largest research topics: Neural Networks, Information Retrieval, Deep Learning, Machine Translation, Word Representation, Collaborative Filtering, Matrix Factorization and Neural Machine Translation.

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. Neural Networks5573 topics
  2. Information Retrieval5203 topics
  3. Deep Learning3623 topics
  4. Machine Translation2971 topic
  5. Word Representation2971 topic
  6. Collaborative Filtering1671 topic
  7. Matrix Factorization1671 topic
  8. Neural Machine Translation1481 topic
  9. Statistical Machine Translation1481 topic
  10. Web Crawling1251 topic
  11. Web Data Extraction1251 topic
  12. Graph Neural Networks1021 topic
  13. Knowledge Graph Embedding1021 topic
  14. Search Engines981 topic
  15. User Behavior981 topic
  16. Image Captioning931 topic
  17. Visual Question Answering931 topic
  18. GPS Trajectories791 topic
  19. Trajectory Data Mining791 topic

Where does Ji-Rong Wen work?

Ji-Rong Wen's main affiliation in the publication record is Renmin University of China, China.

How many publications and citations does Ji-Rong Wen have?

OpenAlex counts 778 works and 27,196 citations for Ji-Rong Wen, an h-index of 78, ranking #8,973 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.

Other researchers named Ji-Rong Wen

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.

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