Bingyi Kang

3.6k total citations · 1 hit paper
92 papers, 2.2k citations indexed

About

Bingyi Kang is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Bingyi Kang has authored 92 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Management Science and Operations Research, 37 papers in Artificial Intelligence and 19 papers in Statistics and Probability. Recurrent topics in Bingyi Kang's work include Multi-Criteria Decision Making (45 papers), Fuzzy Systems and Optimization (16 papers) and Rough Sets and Fuzzy Logic (12 papers). Bingyi Kang is often cited by papers focused on Multi-Criteria Decision Making (45 papers), Fuzzy Systems and Optimization (16 papers) and Rough Sets and Fuzzy Logic (12 papers). Bingyi Kang collaborates with scholars based in China, Canada and Singapore. Bingyi Kang's co-authors include Yong Deng, Rehan Sadiq, Ye Tian, Kasun Hewage, Jiashi Feng, Huizi Cui, Xiaogang Xu, Hengshuang Zhao, Lihe Yang and Zilong Huang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Bingyi Kang

82 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

2024 292 citations Bingyi Kang, Zilong Huang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bingyi Kang China	24	1.0k	813	361	348	320	92	2.2k
Xinyang Deng China	32	1.4k 1.3×	1.2k 1.5×	515 1.4×	472 1.4×	290 0.9×	108	3.1k
Yafei Song China	26	963 1.0×	1.1k 1.3×	430 1.2×	330 0.9×	210 0.7×	138	2.2k
Deyun Zhou China	29	543 0.5×	1.0k 1.3×	386 1.1×	419 1.2×	456 1.4×	205	3.0k
Jean Dezert France	31	1.1k 1.1×	1.9k 2.3×	723 2.0×	361 1.0×	569 1.8×	151	3.2k
Yongchuan Tang China	24	734 0.7×	590 0.7×	303 0.8×	372 1.1×	96 0.3×	76	1.7k
Anne-Laure Jousselme Canada	16	746 0.7×	1.1k 1.4×	335 0.9×	178 0.5×	152 0.5×	83	1.9k
Éloi Bossé Canada	24	732 0.7×	1.4k 1.8×	333 0.9×	323 0.9×	281 0.9×	118	2.5k
Thomas A. Runkler Germany	24	339 0.3×	1.4k 1.7×	236 0.7×	307 0.9×	418 1.3×	132	2.6k
Joaquin Quiñonero-Candela Germany	12	212 0.2×	1.2k 1.5×	274 0.8×	496 1.4×	286 0.9×	20	1.9k
Inés Couso Spain	26	910 0.9×	1.2k 1.5×	436 1.2×	210 0.6×	79 0.2×	111	2.1k

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-authorship network of co-authors of Bingyi Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Bingyi Kang. A scholar is included among the top collaborators of Bingyi Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bingyi Kang. Bingyi Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Yuan & Bingyi Kang. (2025). A novel model based on graph kernel and S-R score in visibility graph for time series forecasting. Physica A Statistical Mechanics and its Applications. 674. 130756–130756.

Chen, Sili, Hengkai Guo, Feihu Zhang, et al.. (2025). Video Depth Anything: Consistent Depth Estimation for Super-Long Videos. 22831–22840. 1 indexed citations

Yu, Tao, et al.. (2025). A novel BWM-based conflict management method for interval-valued belief structure. Information Sciences. 721. 122617–122617.

Kang, Bingyi, et al.. (2024). A new approximate belief mutual information derived from the developed fuzzy mutual information considering belief negation. Applied Soft Computing. 164. 112027–112027.

Yue, Yang, et al.. (2024). Decoupled Prioritized Resampling for Offline RL. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 13094–13108. 1 indexed citations

Zhang, Mingjie, et al.. (2024). Evaluating the reliability and relative weight of the evidence using approximate evidential mutual information. Engineering Applications of Artificial Intelligence. 133. 108409–108409. 2 indexed citations

Zhang, Yunjia, et al.. (2024). A transformation-based Z-number distance measure using belief functions and ERP method. Information Sciences. 699. 121791–121791.

Zhang, Mingjie, et al.. (2023). Evaluate the reliability of information sources using the non-parametric plausibility ReliefF algorithm for multi-source information fusion. Applied Soft Computing. 148. 110871–110871. 9 indexed citations

Kang, Bingyi & Chunjiang Zhao. (2023). Deceptive evidence detection in information fusion of belief functions based on reinforcement learning. Information Fusion. 103. 102102–102102. 12 indexed citations

10.

Cui, Huizi, et al.. (2023). BGC: Belief gravitational clustering approach and its application in the counter-deception of belief functions. Engineering Applications of Artificial Intelligence. 123. 106235–106235. 6 indexed citations

11.

Yang, Tao, et al.. (2023). (B, N)‐Rich B−C−N Nanosheet‐assembled Microwires as Effective Electrocatalysts for Oxygen Reduction Reaction. ChemNanoMat. 10(3). 1 indexed citations

12.

Yang, Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, & Shuicheng Yan. (2023). Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11069–11077.

13.

Zhang, Yu, Na Su, Meng Liu, et al.. (2022). Phylogenomics, plastome structure and species identification in Mahonia (Berberidaceae). BMC Genomics. 23(1). 766–766. 5 indexed citations

14.

Wang, Kaixin, Bingyi Kang, Jie Shao, & Jiashi Feng. (2020). Improving Generalization in Reinforcement Learning with Mixture Regularization. Neural Information Processing Systems. 33. 7968–7978. 1 indexed citations

15.

Zahavy, Tom, et al.. (2018). Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. International Conference on Learning Representations. 1 indexed citations

16.

Kang, Bingyi, Zequn Jie, & Jiashi Feng. (2018). Policy Optimization with Demonstrations. International Conference on Machine Learning. 2469–2478. 37 indexed citations

17.

Chen, Yunpeng, Xiaojie Jin, Bingyi Kang, Jiashi Feng, & Shuicheng Yan. (2018). Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. 635–641. 23 indexed citations

18.

Kang, Bingyi, et al.. (2016). High‐voltage electrical energy meter with measurement chips floating at 10 kV potentials. IET Science Measurement & Technology. 10(3). 159–166. 1 indexed citations

19.

Kang, Bingyi, et al.. (2014). Rapid Response of Hydrological Loss of DOC to Water Table Drawdown and Warming in Zoige Peatland: Results from a Mesocosm Experiment. PLoS ONE. 9(11). e109861–e109861. 18 indexed citations

20.

Kang, Bingyi, et al.. (2013). A fuzzy grey cognitive maps-based decision support system for maintaining water quality. 4154–4158. 3 indexed citations

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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