Kaize Shi

544 total citations
28 papers, 357 citations indexed

About

Kaize Shi is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Kaize Shi has authored 28 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Kaize Shi's work include Topic Modeling (10 papers), Complex Network Analysis Techniques (6 papers) and Advanced Graph Neural Networks (5 papers). Kaize Shi is often cited by papers focused on Topic Modeling (10 papers), Complex Network Analysis Techniques (6 papers) and Advanced Graph Neural Networks (5 papers). Kaize Shi collaborates with scholars based in China, United States and Australia. Kaize Shi's co-authors include Zhendong Niu, Yifan Zhu, Hao Lü, Qika Lin, Yisheng Lv, Xueping Peng, Pengfei Shi, Shanshan Wan, Yinan Li and Juanjuan Li and has published in prestigious journals such as Sensors, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Kaize Shi

24 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaize Shi China 12 216 117 60 36 31 28 357
Nayer Wanas Egypt 12 228 1.1× 147 1.3× 24 0.4× 63 1.8× 38 1.2× 34 447
Onur Küçüktunç United States 11 172 0.8× 147 1.3× 19 0.3× 109 3.0× 13 0.4× 18 520
Shengjie Wang China 9 200 0.9× 109 0.9× 30 0.5× 65 1.8× 70 2.3× 35 473
Murat Ali Bayır United States 11 133 0.6× 150 1.3× 86 1.4× 56 1.6× 182 5.9× 26 516
Martha Mendoza Colombia 11 236 1.1× 98 0.8× 29 0.5× 29 0.8× 18 0.6× 42 407
Jer Hayes Ireland 6 304 1.4× 83 0.7× 12 0.2× 37 1.0× 49 1.6× 13 453
Marcin Sydow Poland 11 245 1.1× 164 1.4× 19 0.3× 21 0.6× 60 1.9× 32 397
Ioannis Boutsis Greece 11 139 0.6× 80 0.7× 217 3.6× 34 0.9× 101 3.3× 32 393

Countries citing papers authored by Kaize Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kaize Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaize Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kaize Shi. A scholar is included among the top collaborators of Kaize Shi 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 Kaize Shi. Kaize Shi 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.
Shi, Kaize, et al.. (2025). Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation. IEEE Transactions on Knowledge and Data Engineering. 37(8). 4564–4577. 1 indexed citations
2.
Shi, Kaize, Ali Hassanpour, Meisam Babaie, & Masoud Jabbari. (2025). Modelling of dry manufacturing of LFP cathode filaments with twin-screw extruder using the Discrete Element Method. Particuology. 109. 1–11.
3.
Shi, Kaize, et al.. (2025). DeepEDD: Nonparametric deep graph clustering through effective distance and density. Neurocomputing. 655. 131359–131359.
4.
Zhang, Chenlong, Shan An, Kaize Shi, et al.. (2024). FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification. Journal of Neural Engineering. 21(3). 36011–36011. 1 indexed citations
5.
Zhang, Qi, et al.. (2024). Adapting GNNs for Document Understanding: A Flexible Framework With Multiview Global Graphs. IEEE Transactions on Computational Social Systems. 12(2). 608–621. 1 indexed citations
6.
He, Hui, Qi Zhang, Kun Yi, et al.. (2024). Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7287–7301. 7 indexed citations
7.
Shi, Kaize, et al.. (2024). A topic‐controllable keywords‐to‐text generator with knowledge base network. CAAI Transactions on Intelligence Technology. 9(3). 585–594.
8.
Yi, Kun, Qi Zhang, Hui He, et al.. (2024). Deep Coupling Network for Multivariate Time Series Forecasting. ACM Transactions on Information Systems. 42(5). 1–28. 4 indexed citations
9.
Shi, Kaize, et al.. (2023). AMR-TST: Abstract Meaning Representation-based Text Style Transfer. 4231–4243. 2 indexed citations
10.
Shi, Kaize, Xueping Peng, Hao Lü, Yifan Zhu, & Zhendong Niu. (2023). Multiple Knowledge-Enhanced Meteorological Social Briefing Generation. IEEE Transactions on Computational Social Systems. 11(2). 2002–2013. 3 indexed citations
11.
Shi, Kaize, Xueping Peng, Hao Lü, Yifan Zhu, & Zhendong Niu. (2022). Application of Social Sensors in Natural Disasters Emergency Management: A Review. IEEE Transactions on Computational Social Systems. 10(6). 3143–3158. 21 indexed citations
12.
Shi, Kaize, Yusen Wang, Hao Lü, Yifan Zhu, & Zhendong Niu. (2021). EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings. Information Processing & Management. 58(4). 102564–102564. 13 indexed citations
13.
Zhu, Yifan, et al.. (2021). Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks. Knowledge-Based Systems. 215. 106744–106744. 48 indexed citations
14.
Wang, Yusen, Kaize Shi, & Zhendong Niu. (2020). A Session-based Job Recommendation System Combining Area Knowledge and Interest Graph Neural Networks.. Software Engineering and Knowledge Engineering. 489–492. 2 indexed citations
15.
Lin, Qika, Yifan Zhu, Hao Lü, Kaize Shi, & Zhendong Niu. (2020). Improving University Faculty Evaluations via multi-view Knowledge Graph. Future Generation Computer Systems. 117. 181–192. 23 indexed citations
16.
Zhang, Guowen, et al.. (2020). Source camera identification for re-compressed images: A model perspective based on tri-transfer learning. Computers & Security. 100. 102076–102076. 7 indexed citations
17.
18.
Shi, Kaize, Hao Lü, Yifan Zhu, & Zhendong Niu. (2019). Automatic generation of meteorological briefing by event knowledge guided summarization model. Knowledge-Based Systems. 192. 105379–105379. 13 indexed citations
19.
Zhu, Yifan, et al.. (2019). Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace. Geoscience Data Journal. 7(1). 61–79. 18 indexed citations
20.
Shi, Kaize, et al.. (2019). Wide-grained capsule network with sentence-level feature to detect meteorological event in social network. Future Generation Computer Systems. 102. 323–332. 24 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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