Bing Yang

39 papers receiving 1.1k citations

Bing Yang's Hit Papers

ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human–Computer Interaction 2022 · 199 citations
1990+1+2Years since publication50100150

Peers

Bing Yang
Comparison fields: 5 of 139
  • Nephrology 227
  • Hepatology 103
  • Computer Vision and Pattern Recognition 247
  • Human-Computer Interaction 39
  • Epidemiology 171
Replace Wolfgang Ertel with:
Wolfgang Ertel Germany
Chi Liu China
Bill Chiu United States
Valentina L. Kouznetsova United States
Ji Ma United States
Ling Wei China
Hayoung Oh South Korea
Mona Soliman Egypt
Wenlu Zhang China
Yimin Huang China
Bing Yang relative to Wolfgang Ertel Germany Wolfgang Ertel's profile →
Citations per field
00.5×6.9×
Wolfgang Ertel · 1×
Citations per year

Countries citing papers authored by Bing Yang

Since Specialization
Citations

This map shows the geographic impact of Bing Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Yang more than expected).

Fields of papers citing papers by Bing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bing Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bing Yang. The network helps show where Bing Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Bing Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bing Yang Line = papers co-authored together Bing Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000215
2
ARHPE: Asymmetric Relation-Aware Representation Learning for Head Pose Estimation in Industrial Human–Computer Interaction
Hit paper breakdown →
2022199
3 1999116
4 202197
5 200279
6 201769
7 200262
8 202045
9 199640
10 200334
11 201826
12 202323
13 202223
14 201912
15
[Changes of clinical aspect of primary liver cancer in China during the past 30 years--control study for 3,250 cases with primary liver cancer].
200312
16 202311
17 202311
18 201510
19 20229
20 19959

About Bing Yang

Bing Yang is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (4 papers), Parathyroid Disorders and Treatments (4 papers), Retinal Imaging and Analysis (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Human Pose and Action Recognition (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Endometriosis Research and Treatment (3 papers). The work is most often cited by research in Nephrology (227 citations), Hepatology (103 citations), Computer Vision and Pattern Recognition (247 citations), Human-Computer Interaction (39 citations) and Epidemiology (171 citations). Bing Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Tingting Liu, Bailin Zhang, Geoffrey N. Hendy, Lucie Canaff, David E.C. Cole, Lilia Freire Rodrigues D’Souza-Li, Jixin Wang, Xuan Wang, Zhaoli Zhang and Youfu Li. Their work appears in journals such as International Journal of Hyperthermia, The Journal of Clinical Endocrinology & Metabolism, Multimedia Tools and Applications, Scientific Reports and IEEE Journal of Biomedical and Health Informatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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