Bingyi Kang

3.8k citations
97 papers · 2.3k · 1 hit paper · h-index 25

Impact in

Papers in

Bingyi Kang

85 papers receiving 2.2k citations

Bingyi Kang's Hit Papers

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data 2024 · 356 citations
3560+1Years since publication100200300

Peers

Bingyi Kang
Comparison fields: 5 of 124
  • Management Science and Operations Research 1.0k
  • Statistics and Probability 316
  • Artificial Intelligence 824
  • Computational Theory and Mathematics 362
  • Statistics, Probability and Uncertainty 153
Replace Yafei Song with:
Yafei Song China
Thomas A. Runkler Germany
Joaquin Quiñonero-Candela Germany
Xinyang Deng China
Jean Dezert France
Deyun Zhou China
Éloi Bossé Canada
Anne-Laure Jousselme Canada
Mehdi Ghatee Iran
Hongxing Li China
Bingyi Kang relative to Yafei Song China Yafei Song's profile →
Citations per field
00.5×1.5×
Yafei Song · 1×
Citations per year

Countries citing papers authored by Bingyi Kang

Since Specialization
Citations

This map shows the geographic impact of Bingyi Kang'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 Bingyi Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingyi Kang more than expected).

Fields of papers citing papers by Bingyi Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bingyi Kang. 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 Bingyi Kang. The network helps show where Bingyi Kang may publish in the future.

Co-authors

The 25 scholars most cited alongside Bingyi Kang, 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 Bingyi Kang Line = papers co-authored together Bingyi Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Hit paper breakdown →
2024356
2 2018122
3 2019118
4 2017112
5 201995
6 201290
7 201679
8 202278
9 201976
10 201873
11 201764
12 201663
13 202058
14 201655
15 202042
16
Policy Optimization with Demonstrations
201838
17 201935
18 202432
19 202132
20 202231

About Bingyi Kang

Bingyi Kang is a scholar working on Management Science and Operations Research, Artificial Intelligence, Statistics and Probability, Control and Systems Engineering and Computational Theory and Mathematics, having authored 97 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (44 papers), Fuzzy Systems and Optimization (15 papers), Rough Sets and Fuzzy Logic (12 papers), Bayesian Modeling and Causal Inference (10 papers), Optimization and Mathematical Programming (7 papers), Fault Detection and Control Systems (5 papers), Cognitive Science and Mapping (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Statistics and Probability (316 citations), Artificial Intelligence (824 citations), Computational Theory and Mathematics (362 citations) and Statistics, Probability and Uncertainty (153 citations). Bingyi Kang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yong Deng, Rehan Sadiq, Ye Tian, Kasun Hewage, Jiashi Feng, Huizi Cui, Xiaogang Xu, Hengshuang Zhao, Lihe Yang and Zilong Huang. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Information Sciences, Applied Intelligence, IEEE Access and International Journal of Intelligent Systems.

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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