Chee Wei Tan

6.3k total citations · 2 hit papers
178 papers, 4.1k citations indexed

About

Chee Wei Tan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Chee Wei Tan has authored 178 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Electrical and Electronic Engineering, 84 papers in Computer Networks and Communications and 32 papers in Artificial Intelligence. Recurrent topics in Chee Wei Tan's work include Advanced MIMO Systems Optimization (44 papers), Cooperative Communication and Network Coding (36 papers) and Wireless Communication Networks Research (34 papers). Chee Wei Tan is often cited by papers focused on Advanced MIMO Systems Optimization (44 papers), Cooperative Communication and Network Coding (36 papers) and Wireless Communication Networks Research (34 papers). Chee Wei Tan collaborates with scholars based in Hong Kong, Singapore and United States. Chee Wei Tan's co-authors include Mung Chiang, Daniel P. Palomar, Liang Zheng, Daniel O’Neill, David Julián, Tian Lan, Prashanth Hande, Tony Q. S. Quek, R. Srikant and Desmond Cai and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Power Systems.

In The Last Decade

Chee Wei Tan

165 papers receiving 3.9k 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.

Power Control By Geometric Programming

2007 628 citations Chee Wei Tan et al. profile →
Empowering student self‐regulated learning and science education through ChatGPT : A pioneering pilot study

2024 110 citations Chee Wei Tan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chee Wei Tan Hong Kong	33	2.7k	2.3k	473	379	237	178	4.1k
Matthias Grossglauser Switzerland	34	1.9k 0.7×	5.4k 2.4×	854 1.8×	194 0.5×	258 1.1×	93	6.5k
Jianping He China	34	1.4k 0.5×	1.9k 0.8×	635 1.3×	240 0.6×	75 0.3×	184	3.4k
Yulei Wu China	41	2.0k 0.8×	2.6k 1.2×	1.5k 3.1×	1.0k 2.8×	111 0.5×	201	5.3k
Luiz A. DaSilva United States	34	2.9k 1.1×	4.3k 1.9×	496 1.0×	278 0.7×	121 0.5×	248	5.5k
Chonggang Wang United States	37	3.5k 1.3×	4.1k 1.8×	404 0.9×	386 1.0×	82 0.3×	214	5.7k
Liang Zhou China	34	1.9k 0.7×	2.4k 1.1×	431 0.9×	370 1.0×	46 0.2×	229	4.0k
Wolfgang Kellerer Germany	42	3.2k 1.2×	5.1k 2.3×	490 1.0×	680 1.8×	166 0.7×	456	6.5k
Thomas Moscibroda United States	51	3.5k 1.3×	6.1k 2.7×	568 1.2×	866 2.3×	59 0.2×	146	7.9k
Injong Rhee United States	37	3.6k 1.3×	6.9k 3.0×	334 0.7×	347 0.9×	131 0.6×	123	8.1k

Countries citing papers authored by Chee Wei Tan

Since Specialization

Citations

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

Fields of papers citing papers by Chee Wei Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Wei Tan. 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 Chee Wei Tan. The network helps show where Chee Wei Tan may publish in the future.

Co-authorship network of co-authors of Chee Wei Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Chee Wei Tan. A scholar is included among the top collaborators of Chee Wei Tan 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 Chee Wei Tan. Chee Wei Tan 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

Liang, Han, et al.. (2025). VFL-Cafe: Communication-Efficient Vertical Federated Learning via Dynamic Caching and Feature Selection. Entropy. 27(1). 66–66. 1 indexed citations

Song, Dan, Xiangping Zhai, Xin Liu, et al.. (2025). Energy-Efficient Trajectory Design and Unsupervised Clustering for AAV-Aided Fair Data Collections With Dense Ground Users. IEEE Internet of Things Journal. 12(15). 29555–29569.

Tan, Chee Wei, et al.. (2025). OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation With Optimization-Based Deep Learning. IEEE Transactions on Green Communications and Networking. 9(4). 2169–2183.

Tan, Chee Wei, et al.. (2025). DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks With Graph Neural Networks. IEEE Transactions on Signal and Information Processing over Networks. 11. 97–113. 4 indexed citations

Zhu, Tianxiang, et al.. (2025). Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning. IEEE Transactions on Mobile Computing. 25(2). 1777–1794.

Zhang, Weishan, et al.. (2024). FedDRL: Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning. Computing and Informatics. 43(1). 1–37. 9 indexed citations

Wong, M.F., et al.. (2024). Automatic Feedback Generation on K-12 Students' Data Science Education by Prompting Cloud-based Large Language Models. 255–258. 4 indexed citations

Li, Congduan, et al.. (2024). Coded Federated Learning for Communication-Efficient Edge Computing: A Survey. IEEE Open Journal of the Communications Society. 5. 4098–4124. 4 indexed citations

Tan, Chee Wei, et al.. (2024). Nemobot: Crafting Strategic Gaming LLM Agents for K-12 AI Education. CityU Scholars. 393–397. 3 indexed citations

10.

Lu, Yang, et al.. (2024). Throughput-Scalable Shard Reorganization Tailored to Node Relations in Sharding Blockchain Networks. IEEE Transactions on Computational Social Systems. 11(6). 7271–7285. 3 indexed citations

11.

Wong, M.F., Xintong Qi, & Chee Wei Tan. (2023). EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry. DR-NTU (Nanyang Technological University). 3(1). 839–853.

12.

Li, Congduan, et al.. (2023). Fault-Tolerant Computation Meets Network Coding: Optimal Scheduling in Parallel Computing. IEEE Transactions on Communications. 71(7). 3847–3860. 3 indexed citations

13.

Li, Congduan, et al.. (2023). On Symmetric Multilevel Diversity Coding System With Linear Computations. IEEE Communications Letters. 27(8). 1994–1998. 1 indexed citations

14.

Wong, M.F., et al.. (2023). Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review. Entropy. 25(6). 888–888. 53 indexed citations

15.

Liu, Shengxin, Carlee Joe‐Wong, Jiasi Chen, et al.. (2020). Economic Viability of a Virtual ISP. IEEE/ACM Transactions on Networking. 28(2). 902–916. 2 indexed citations

16.

Ho, Siu‐Wai, et al.. (2020). Proving and Disproving Information Inequalities: Theory and Scalable Algorithms. IEEE Transactions on Information Theory. 66(9). 5522–5536. 13 indexed citations

17.

Zheng, Liang, Desmond Cai, & Chee Wei Tan. (2017). Max-Min Fairness Rate Control in Wireless Networks: Optimality and Algorithms by Perron-Frobenius Theory. IEEE Transactions on Mobile Computing. 17(1). 127–140. 21 indexed citations

18.

Li, Congduan, et al.. (2017). Hierarchical Performance Analysis on Random Linear Network Coding. IEEE Transactions on Communications. 66(5). 2009–2021. 6 indexed citations

19.

Zhai, Xiangping, Chee Wei Tan, Yichao Huang, & Bhaskar D. Rao. (2016). Transmit Beamforming and Power Control for Optimizing the Outage Probability Fairness in MISO Networks. IEEE Transactions on Communications. 65(2). 839–850. 10 indexed citations

20.

Zheng, Liang, et al.. (2016). Wireless Max–Min Utility Fairness With General Monotonic Constraints by Perron–Frobenius Theory. IEEE Transactions on Information Theory. 62(12). 7283–7298. 21 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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