Science Explorer Back to mapMap
Discussion
Researcher · Weinan Normal University · China

Bing He

Bing He publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology, on topics such as Image Retrieval and Classification Techniques, Advanced Image and Video Retrieval Techniques and Medical Image Segmentation Techniques.

ORCID 0000-0002-7667-9617 OpenAlex
World rank
#4,453,704
of 7,710,434 ranked researchers
Rank in China
#682,254
of 978,568
Works
59
Citations
384
Citations per work
6.5
h-index
10
i10-index 11Top 45% in Computer Vision and Pattern Recognition
Bing He

What does Bing He research?

Bing He's work is mostly in Computer Science (59%), Biochemistry, Genetics and Molecular Biology (5%), Physics and Astronomy (3%).

Physical Sciences: 36 works · 61.7% of their workComputer Science: 35 works · 58.8% of their workComputer Vision and Pattern Recognition: 28 works · 47.1% of their workArtificial Intelligence: 3 works · 4.7% of their workComputer Networks and Communications: 2 works · 3.5% of their workSignal Processing: 2 works · 3.5% of their workPhysics and Astronomy: 2 works · 2.9% of their workStatistical and Nonlinear Physics: 2 works · 2.9% of their workEverything else: 20 works · 33.6% of their workLife Sciences: 3 works · 4.7% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 4.7% of their workMolecular Biology: 3 works · 4.7% of their workTHEIR WORKBing He59works
Life Sciences5%Physical Sciences62%

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 Science3558.8%
    2. Physics and Astronomy22.9%
  2. Everything else2033.6%
    1. Biochemistry, Genetics and Molecular Biology34.7%
  1. 1Computer Vision and Pattern Recognition47% of their works
  2. 2Artificial Intelligence5% of their works
  3. 3Molecular Biology5% of their works
  4. 4Signal Processing4% of their works
  5. 5Computer Networks and Communications4% of their works
  6. 6Statistical and Nonlinear Physics3% of their works

Research topics

Which keywords describe Bing He's research?

The keywords of their largest research topics: Deep Learning, Content-Based Image Retrieval, Shape Matching, Feature Matching, Local Descriptors, Image Segmentation, Medical Image Analysis and Reversible Data 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 17 words, with their numbers
  1. Deep Learning324 topics
  2. Content-Based Image Retrieval141 topic
  3. Shape Matching141 topic
  4. Feature Matching101 topic
  5. Local Descriptors101 topic
  6. Image Segmentation91 topic
  7. Medical Image Analysis91 topic
  8. Reversible Data Embedding81 topic
  9. Steganography81 topic
  10. Depth Estimation51 topic
  11. Digital Forensics51 topic
  12. Digital Image Stabilization51 topic
  13. Image Forgery Detection51 topic
  14. Stereo Vision51 topic
  15. Video Stabilization51 topic
  16. Gene Regulatory Networks41 topic
  17. Stochastic Gene Expression41 topic

Where does Bing He work?

Bing He's main affiliation in the publication record is Weinan Normal University, China.

How many publications and citations does Bing He have?

OpenAlex counts 59 works and 384 citations for Bing He, an h-index of 10, ranking #4,453,704 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 Bing He

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

Ask a question or share a note about Bing He. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.