Kun Bai

853 total citations
26 papers, 452 citations indexed

About

Kun Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kun Bai has authored 26 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Kun Bai's work include Domain Adaptation and Few-Shot Learning (6 papers), Topic Modeling (5 papers) and Advanced Neural Network Applications (3 papers). Kun Bai is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Topic Modeling (5 papers) and Advanced Neural Network Applications (3 papers). Kun Bai collaborates with scholars based in China, United States and Hong Kong. Kun Bai's co-authors include Zenglin Xu, Jian Liang, Xiping Hu, Fei Wang, Jun Cheng, Bin Hu, Bing Bai, Jing Xu, Jiang Xin and MengChu Zhou and has published in prestigious journals such as IEEE Communications Magazine, Neurocomputing and Neural Networks.

In The Last Decade

Kun Bai

23 papers receiving 444 citations

Peers

Kun Bai
Mohammadamin Barekatain United Kingdom
Jiazhang Wang United States
Yingming Li China
Zhenpeng Li China
Qiyue Yin China
Duanqing Xu China
Xin Guo China
George F. Fragulis Greece
Yanming Zhu Australia
Mohammadamin Barekatain United Kingdom
Kun Bai
Citations per year, relative to Kun Bai Kun Bai (= 1×) peers Mohammadamin Barekatain

Countries citing papers authored by Kun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Kun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Bai. A scholar is included among the top collaborators of Kun Bai 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 Kun Bai. Kun Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Qian, Lu Ren, Jing Wang, et al.. (2025). Coumarin-based colorimetric fluorescent chemical sensors for highly selectively and accurately detect Cu2+ ions in water and living cells. Inorganica Chimica Acta. 590. 122981–122981.
2.
3.
Bai, Kun, et al.. (2024). Artificial intelligence driven design of cathode materials for sodium-ion batteries using graph deep learning method. Journal of Energy Storage. 101. 113809–113809. 16 indexed citations
4.
Xu, Jing, Yu Pan, Liangjian Wen, et al.. (2022). AFINet: Attentive Feature Integration Networks for image classification. Neural Networks. 155. 360–368. 10 indexed citations
5.
Song, Yangqiu, et al.. (2022). Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2661–2670. 1 indexed citations
6.
Bai, Bing, et al.. (2022). GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction. Proceedings of the ACM Web Conference 2022. 2120–2130. 9 indexed citations
7.
Xu, Jing, et al.. (2021). MultiFace: A generic training mechanism for boosting face recognition performance. Neurocomputing. 448. 40–47. 7 indexed citations
8.
Bai, Bing, Jian Liang, Guanhua Zhang, et al.. (2021). Why Attentions May Not Be Interpretable?. 25–34. 33 indexed citations
9.
Zhao, Peng, 斌 刘, Zhao Kang, et al.. (2021). Domain adaptation with feature and label adversarial networks. Neurocomputing. 439. 294–301. 6 indexed citations
10.
Kang, Zhao, Xiao Lu, Jian Liang, Kun Bai, & Zenglin Xu. (2020). Relation-Guided Representation Learning. Neural Networks. 131. 93–102. 41 indexed citations
11.
Bai, Bing, et al.. (2020). General-Purpose User Embeddings based on Mobile App Usage. 2831–2840. 22 indexed citations
12.
Bai, Kun, et al.. (2020). Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension. 1781–1784. 3 indexed citations
13.
14.
Pan, Yu, Jing Xu, Maolin Wang, et al.. (2019). Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4683–4690. 70 indexed citations
15.
Bai, Kun, et al.. (2019). Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration. 1824–1833. 32 indexed citations
16.
Liang, Jian, et al.. (2019). Additive Adversarial Learning for Unbiased Authentication. 11420–11429. 15 indexed citations
17.
Hu, Xiping, Zhaolong Ning, Kuan Zhang, et al.. (2018). Crowdsourcing for Mobile Networks and IoT. Wireless Communications and Mobile Computing. 2018(1). 5 indexed citations
18.
He, Lirong, et al.. (2018). Structured Inference for Recurrent Hidden Semi-markov Model. 2447–2453. 20 indexed citations
19.
Hu, Xiping, Jun Cheng, MengChu Zhou, et al.. (2018). Emotion-Aware Cognitive System in Multi-Channel Cognitive Radio Ad Hoc Networks. IEEE Communications Magazine. 56(4). 180–187. 99 indexed citations
20.
Wang, Zhiying, Ruijun Wang, Wenguang Zhang, et al.. (2012). Estimation of genetic parameters for fleece traits in yearling Inner Mongolia Cashmere goats. Small Ruminant Research. 109(1). 15–21. 29 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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