Chi‐Tsun Cheng

3.7k total citations · 1 hit paper
146 papers, 2.4k citations indexed

About

Chi‐Tsun Cheng is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Chi‐Tsun Cheng has authored 146 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Networks and Communications, 29 papers in Computer Vision and Pattern Recognition and 26 papers in Electrical and Electronic Engineering. Recurrent topics in Chi‐Tsun Cheng's work include Energy Efficient Wireless Sensor Networks (25 papers), Robotic Path Planning Algorithms (20 papers) and Distributed Control Multi-Agent Systems (15 papers). Chi‐Tsun Cheng is often cited by papers focused on Energy Efficient Wireless Sensor Networks (25 papers), Robotic Path Planning Algorithms (20 papers) and Distributed Control Multi-Agent Systems (15 papers). Chi‐Tsun Cheng collaborates with scholars based in Australia, Hong Kong and China. Chi‐Tsun Cheng's co-authors include Chi K. Tse, Nuwan Ganganath, Francis C. M. Lau, Henry Leung, Toh Yen Pang, Kia Fallahi, Maciej Mazur, Suzanne M. Crowe, Wendy Stevens and Jing V. Wang and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Scientific Reports.

In The Last Decade

Chi‐Tsun Cheng

136 papers receiving 2.3k citations

Hit Papers

State-of-the-Art and Research Opportunities for Next-Gene... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi‐Tsun Cheng Australia 27 635 400 399 323 285 146 2.4k
Mostafa A. Elhosseini Egypt 25 375 0.6× 502 1.3× 341 0.9× 46 0.1× 86 0.3× 108 2.1k
Marwa M. Eid Egypt 28 134 0.2× 432 1.1× 352 0.9× 21 0.1× 91 0.3× 153 2.6k
Yongli Hu China 27 98 0.2× 223 0.6× 890 2.2× 122 0.4× 207 0.7× 238 3.2k
Nima Khodadadi United States 32 194 0.3× 563 1.4× 294 0.7× 11 0.0× 124 0.4× 111 3.6k
Rongheng Lin China 19 247 0.4× 472 1.2× 78 0.2× 65 0.2× 32 0.1× 110 1.3k
Abdelaziz A. Abdelhamid Egypt 28 185 0.3× 447 1.1× 304 0.8× 12 0.0× 97 0.3× 118 2.5k
Tamás Haidegger Hungary 27 160 0.3× 180 0.5× 549 1.4× 178 0.6× 243 0.9× 207 3.2k
David Cornforth Australia 26 91 0.1× 461 1.2× 116 0.3× 125 0.4× 10 0.0× 127 2.3k
Ayman A. Aly Saudi Arabia 29 301 0.5× 357 0.9× 188 0.5× 48 0.1× 87 0.3× 165 2.7k

Countries citing papers authored by Chi‐Tsun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Tsun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi‐Tsun Cheng. 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 Chi‐Tsun Cheng. The network helps show where Chi‐Tsun Cheng may publish in the future.

Co-authorship network of co-authors of Chi‐Tsun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Tsun Cheng. A scholar is included among the top collaborators of Chi‐Tsun Cheng 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 Chi‐Tsun Cheng. Chi‐Tsun Cheng 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
3.
Cheng, Chi‐Tsun, et al.. (2024). Novel Intelligent Traffic Light Controller Design. Machines. 12(7). 469–469. 1 indexed citations
4.
Wu, Fan, et al.. (2024). Sensing and Reasoning of Water Quality Based on Deep Reinforcement Learning in Complex Watershed. IEEE Internet of Things Journal. 12(5). 5036–5049. 2 indexed citations
5.
Cheng, Chi‐Tsun, et al.. (2024). Transforming Driver Education: A Comparative Analysis of LLM-Augmented Training and Conventional Instruction for Autonomous Vehicle Technologies. International Journal of Artificial Intelligence in Education. 35(2). 736–773. 9 indexed citations
6.
Chen, Gao, et al.. (2023). Indoor human detection based on micro-Doppler features in the presence of interference from moving clutter sources. Physical Communication. 58. 102037–102037. 3 indexed citations
7.
Cheng, Chi‐Tsun, et al.. (2023). Preparing drivers for the future: Evaluating the effects of training on drivers’ performance in an autonomous vehicle landscape. Transportation Research Part F Traffic Psychology and Behaviour. 98. 280–296. 12 indexed citations
8.
Nguyen, Quynh Thi, Phung‐Anh Nguyen, Chin‐Sheng Hung, et al.. (2023). Machine learning approaches for predicting 5‐year breast cancer survival: A multicenter study. Cancer Science. 114(10). 4063–4072. 10 indexed citations
9.
Cheng, Chi‐Tsun, et al.. (2023). Task Complexity and the Skills Dilemma in the Programming and Control of Collaborative Robots for Manufacturing. Applied Sciences. 13(7). 4635–4635. 9 indexed citations
10.
Wang, Jing V., et al.. (2023). The Impact of Regenerative Braking in Electric Vehicles to Energy-efficient Routing Performance. 135. 1–5. 1 indexed citations
11.
Nguyen, Phung‐Anh, Shwu‐Jiuan Lin, Christine Y. Lu, et al.. (2023). A novel prediction model of the risk of pancreatic cancer among diabetes patients using multiple clinical data and machine learning. Cancer Medicine. 12(19). 19987–19999. 11 indexed citations
12.
Mazur, Maciej, et al.. (2023). A review of void reduction strategies in material extrusion-based additive manufacturing. Additive manufacturing. 67. 103463–103463. 87 indexed citations
13.
Wu, Chung Kit, Chi‐Tsun Cheng, Yoko Uwate, et al.. (2022). State-of-the-Art and Research Opportunities for Next-Generation Consumer Electronics. IEEE Transactions on Consumer Electronics. 69(4). 937–948. 135 indexed citations breakdown →
14.
Wang, Jing V., Chi‐Tsun Cheng, & Chi K. Tse. (2019). A thermal‐aware VM consolidation mechanism with outage avoidance. Software Practice and Experience. 49(5). 906–920. 6 indexed citations
15.
Wang, Jing V., Nuwan Ganganath, Chi‐Tsun Cheng, & Chi K. Tse. (2019). Bio-Inspired Heuristics for VM Consolidation in Cloud Data Centers. IEEE Systems Journal. 14(1). 152–163. 17 indexed citations
16.
Ganganath, Nuwan, Jing V. Wang, Xinzhi Xu, Chi‐Tsun Cheng, & Chi K. Tse. (2017). Agglomerative Clustering-Based Network Partitioning for Parallel Power System Restoration. IEEE Transactions on Industrial Informatics. 14(8). 3325–3333. 57 indexed citations
17.
Ganganath, Nuwan, et al.. (2016). A 3D printing path optimizer based on Christofides algorithm. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1–2. 14 indexed citations
18.
Ganganath, Nuwan, Chi‐Tsun Cheng, & Chi K. Tse. (2016). Multiobjective path planning on uneven terrains based on NAMOA. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1846–1849. 7 indexed citations
19.
Sollis, Kimberly A., Pieter W. Smit, Susan A. Fiscus, et al.. (2014). Systematic Review of the Performance of HIV Viral Load Technologies on Plasma Samples. PLoS ONE. 9(2). e85869–e85869. 44 indexed citations
20.
Cheng, Chi‐Tsun, Chi K. Tse, & Francis C. M. Lau. (2008). A Tree-Based Data Collecting Network Structure for Wireless Sensor Networks. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 6(3). 274–278. 4 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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