Kai He

1.4k total citations · 2 hit papers
58 papers, 820 citations indexed

About

Kai He is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Kai He has authored 58 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 11 papers in Electrical and Electronic Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Kai He's work include Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers) and Biomedical Text Mining and Ontologies (7 papers). Kai He is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers) and Biomedical Text Mining and Ontologies (7 papers). Kai He collaborates with scholars based in China, Singapore and United States. Kai He's co-authors include Erik Cambria, Rui Mao, Sheldon X.-D. Tan, Chen Li, Qian Liu, Wei Li, Tieliang Gong, Xin Huang, Guoyong Shi and Hai Wang and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Kai He

55 papers receiving 799 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.

The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection

2022 148 citations Rui Mao, Qian Liu et al. IEEE Transactions on Affective Computing profile →
A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

2025 41 citations Kai He, Rui Mao et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai He China	17	428	147	94	73	48	58	820
Xiaodong Cui United States	21	1.2k 2.7×	123 0.8×	238 2.5×	27 0.4×	125 2.6×	92	1.6k
Jui-Ting Huang United States	9	985 2.3×	120 0.8×	281 3.0×	19 0.3×	54 1.1×	18	1.4k
Horia-Nicolai Teodorescu Romania	13	267 0.6×	64 0.4×	81 0.9×	7 0.1×	65 1.4×	127	667
Lu Ou China	17	518 1.2×	109 0.7×	87 0.9×	12 0.2×	14 0.3×	62	965
Evgeny Osipov Sweden	18	394 0.9×	498 3.4×	76 0.8×	26 0.4×	8 0.2×	80	927
Forrest H Bennett United States	13	864 2.0×	271 1.8×	47 0.5×	36 0.5×	9 0.2×	26	1.2k
Edward Rosenfeld United States	5	317 0.7×	79 0.5×	79 0.8×	8 0.1×	17 0.4×	7	630
Endika Bengoetxea Spain	13	434 1.0×	34 0.2×	133 1.4×	8 0.1×	21 0.4×	18	944
Cong Guo China	13	145 0.3×	82 0.6×	159 1.7×	64 0.9×	7 0.1×	53	499

Countries citing papers authored by Kai He

Since Specialization

Citations

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

Fields of papers citing papers by Kai He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai He

This figure shows the co-authorship network connecting the top 25 collaborators of Kai He. A scholar is included among the top collaborators of Kai He 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 Kai He. Kai He 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

Wu, Jialun, et al.. (2025). Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare. Information Fusion. 123. 103283–103283. 2 indexed citations

He, Kai, Rui Mao, Qika Lin, et al.. (2025). A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. Information Fusion. 118. 102963–102963. 41 indexed citations breakdown →

Wu, Jialun, Xin‐Yao Yu, Kai He, Zeyu Gao, & Tieliang Gong. (2024). PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation. Information Processing & Management. 61(4). 103758–103758. 7 indexed citations

He, Kai, et al.. (2024). Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. 2671–2681. 2 indexed citations

Li, Yufei, et al.. (2024). Integrating K+ Entities Into Coreference Resolution on Biomedical Texts. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 2145–2155. 1 indexed citations

Mao, Rui, et al.. (2024). MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling. ResearchSpace (University of Auckland). 9891–9908. 9 indexed citations

Lin, Qika, Y. C. Zhu, Mei Xin, et al.. (2024). Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. Information Fusion. 116. 102795–102795. 34 indexed citations

Mao, Rui, et al.. (2024). A survey on pragmatic processing techniques. Information Fusion. 114. 102712–102712. 5 indexed citations

Mao, Rui, et al.. (2023). A survey on semantic processing techniques. Information Fusion. 101. 101988–101988. 24 indexed citations

10.

Wu, Jialun, et al.. (2023). MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. Information Fusion. 100. 101939–101939. 27 indexed citations

11.

He, Kai, et al.. (2023). Template-Free Prompting for Few-Shot Named Entity Recognition via Semantic-Enhanced Contrastive Learning. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18357–18369. 17 indexed citations

12.

Mao, Rui, et al.. (2023). MetaPro Online: A Computational Metaphor Processing Online System. Aberdeen University Research Archive (Aberdeen University). 127–135. 23 indexed citations

13.

He, Kai, Rui Mao, Tieliang Gong, Chen Li, & Erik Cambria. (2022). Meta-Based Self-Training and Re-Weighting for Aspect-Based Sentiment Analysis. IEEE Transactions on Affective Computing. 14(3). 1731–1742. 67 indexed citations

14.

Zhu, Hai, et al.. (2022). A new technique for high-fidelity cutting technology for hydrate samples. Journal of Zhejiang University. Science A. 23(1). 40–54. 5 indexed citations

15.

He, Kai, et al.. (2022). Virtual prompt pre-training for prototype-based few-shot relation extraction. Expert Systems with Applications. 213. 118927–118927. 46 indexed citations

16.

Mao, Rui, Qian Liu, Kai He, Wei Li, & Erik Cambria. (2022). The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection. IEEE Transactions on Affective Computing. 14(3). 1743–1753. 148 indexed citations breakdown →

17.

He, Kai, Xiangyu Zhou, Yufei Li, et al.. (2022). Knowledge Enhanced Coreference Resolution via Gated Attention. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2287–2293. 1 indexed citations

18.

He, Kai, et al.. (2019). Understanding the patient perspective of epilepsy treatment through text mining of online patient support groups. Epilepsy & Behavior. 94. 65–71. 22 indexed citations

19.

He, Kai, Xin Huang, & Sheldon X.-D. Tan. (2015). EM-Based on-Chip Aging Sensor for Detection and Prevention of Counterfeit and Recycled ICs. International Conference on Computer Aided Design. 146–151. 18 indexed citations

20.

Guo, Lei, Kai He, & Yuan Song. (2015). Design of non-linear controller for unicycle robot based on RBF neural network self-adaption control. 2008. 1322–1326. 1 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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