Kun Kuang

2.6k total citations
102 papers, 1.2k citations indexed

About

Kun Kuang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Kun Kuang has authored 102 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 17 papers in Information Systems. Recurrent topics in Kun Kuang's work include Domain Adaptation and Few-Shot Learning (20 papers), Topic Modeling (17 papers) and Artificial Intelligence in Law (12 papers). Kun Kuang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (20 papers), Topic Modeling (17 papers) and Artificial Intelligence in Law (12 papers). Kun Kuang collaborates with scholars based in China, United States and Singapore. Kun Kuang's co-authors include Fei Wu, Peng Cui, Jianxin Ma, Yuxian Meng, Jiwei Li, Xiaofei Sun, Qinghong Han, Wenwu Zhu, Ruoxuan Xiong and Xin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Kun Kuang

90 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Kuang China 18 838 248 198 95 93 102 1.2k
Pinghui Wang China 15 477 0.6× 160 0.6× 128 0.6× 275 2.9× 79 0.8× 94 922
Rajendra Pamula India 19 573 0.7× 57 0.2× 260 1.3× 271 2.9× 69 0.7× 69 1.1k
Olivier Caelen Belgium 15 2.0k 2.4× 199 0.8× 475 2.4× 170 1.8× 40 0.4× 32 2.3k
Evangelos Kanoulas Netherlands 25 1.0k 1.2× 258 1.0× 886 4.5× 122 1.3× 11 0.1× 114 1.8k
Ruizhang Huang China 16 595 0.7× 129 0.5× 114 0.6× 40 0.4× 18 0.2× 72 863
Enza Messina Italy 18 480 0.6× 60 0.2× 109 0.6× 52 0.5× 16 0.2× 87 1.1k
Andrea Dal Pozzolo Belgium 7 1.1k 1.3× 112 0.5× 227 1.1× 108 1.1× 18 0.2× 9 1.2k
Linyi Yang China 10 687 0.8× 113 0.5× 179 0.9× 82 0.9× 22 0.2× 24 1.3k
Pankaj Agarwal India 14 134 0.2× 245 1.0× 66 0.3× 81 0.9× 43 0.5× 55 753

Countries citing papers authored by Kun Kuang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Kuang. A scholar is included among the top collaborators of Kun Kuang 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 Kuang. Kun Kuang 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.
Xiao, Teng, et al.. (2025). Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts. 1196–1204. 1 indexed citations
2.
Kuang, Kun, et al.. (2024). Deconfounded hierarchical multi-granularity classification. Computer Vision and Image Understanding. 248. 104108–104108.
3.
Wang, Guoyin, et al.. (2024). LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. 4447–4462. 2 indexed citations
4.
Liu, Yifei, Ang Li, Changlong Sun, et al.. (2024). Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge. 2782–2792. 1 indexed citations
5.
Zhou, Xiang, et al.. (2024). Unlocking authentic judicial reasoning: A Template-Based Legal Information Generation framework for judicial views. Knowledge-Based Systems. 301. 112232–112232.
6.
Shi, Shuting, Kun Kuang, Sensen Wu, et al.. (2024). Causality-Guided Stepwise Intervention and Reweighting for Remote Sensing Image Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations
7.
Yu, Yu, et al.. (2024). Xinyu: An Efficient LLM-based System for Commentary Generation. 6003–6014. 1 indexed citations
8.
Xiong, Ruoxuan, Bo Li, Xiaoqing Yang, et al.. (2024). Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(15). 17175–17183. 3 indexed citations
9.
Xiong, Ruoxuan, et al.. (2024). Learning Individual Treatment Effects under Heterogeneous Interference in Networks. ACM Transactions on Knowledge Discovery from Data. 18(8). 1–21. 1 indexed citations
10.
Zhang, Wenqiao, et al.. (2024). Intelligent Model Update Strategy for Sequential Recommendation. 3117–3128. 18 indexed citations
11.
Liu, Chengyuan, Yangyang Kang, Jingyuan Zhang, et al.. (2023). RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. 15342–15359. 6 indexed citations
12.
Zhou, Siying, Yifei Liu, Weiming Lü, et al.. (2023). Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. 12060–12075. 8 indexed citations
13.
Kuang, Kun, Ruoxuan Xiong, Yuxuan Liu, et al.. (2023). Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 10324–10332. 3 indexed citations
14.
Wei, Ying, et al.. (2023). Learning Chemical Rules of Retrosynthesis with Pre-training. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 5113–5121. 6 indexed citations
15.
Zhang, Shengyu, Jiangchao Yao, Fuli Feng, et al.. (2023). Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Transactions on Knowledge and Data Engineering. 36(2). 459–474. 8 indexed citations
16.
Kuang, Kun, et al.. (2023). Treatment Effect Estimation with Adjustment Feature Selection. 2290–2301. 7 indexed citations
17.
Zhang, Wenqiao, Shengyu Zhang, Kun Kuang, et al.. (2023). DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. 3077–3085. 30 indexed citations
18.
Chen, Defang, et al.. (2023). Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12528–12541. 16 indexed citations
19.
Meng, Yuxian, Kun Kuang, Xiaofei Sun, et al.. (2022). Dependency Parsing as MRC-based Span-Span Prediction. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7 indexed citations
20.
Kuang, Kun, Yating Zhang, Xiaozhong Liu, et al.. (2020). De-Biased Court’s View Generation with Causality. 763–780. 54 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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