Ching‐Hung Lee

3.0k total citations
108 papers, 2.3k citations indexed

About

Ching‐Hung Lee is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Ching‐Hung Lee has authored 108 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Control and Systems Engineering, 50 papers in Artificial Intelligence and 20 papers in Mechanical Engineering. Recurrent topics in Ching‐Hung Lee's work include Fuzzy Logic and Control Systems (34 papers), Neural Networks and Applications (32 papers) and Advanced Algorithms and Applications (13 papers). Ching‐Hung Lee is often cited by papers focused on Fuzzy Logic and Control Systems (34 papers), Neural Networks and Applications (32 papers) and Advanced Algorithms and Applications (13 papers). Ching‐Hung Lee collaborates with scholars based in Taiwan, China and United States. Ching‐Hung Lee's co-authors include Ching‐Cheng Teng, Ti-Chung Lee, Kai‐Tai Song, Feng‐Yu Chang, Chih‐Min Lin, Chung‐Wen Hung, Yu‐Ching Lin, Yu‐Ching Lin, Chien‐Yu Lin and Yung‐Chi Lin and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Physical Chemistry C and Expert Systems with Applications.

In The Last Decade

Ching‐Hung Lee

97 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Hung Lee Taiwan 23 1.3k 869 462 347 272 108 2.3k
Hongfeng Tao China 22 1.2k 0.9× 523 0.6× 413 0.9× 526 1.5× 226 0.8× 82 2.4k
Yixin Yin China 28 842 0.7× 580 0.7× 403 0.9× 581 1.7× 299 1.1× 194 2.3k
Tzuu‐Hseng S. Li Taiwan 25 1.4k 1.1× 628 0.7× 585 1.3× 247 0.7× 183 0.7× 154 2.4k
Yongliang Yang China 28 1.1k 0.8× 558 0.6× 330 0.7× 225 0.6× 273 1.0× 95 2.7k
C.S.G. Lee United States 20 1.1k 0.8× 1.3k 1.5× 637 1.4× 297 0.9× 253 0.9× 67 2.9k
William Melek Canada 25 866 0.7× 893 1.0× 234 0.5× 418 1.2× 246 0.9× 114 2.3k
Walmir M. Caminhas Brazil 24 646 0.5× 1.0k 1.2× 178 0.4× 229 0.7× 249 0.9× 82 2.0k
Raul‐Cristian Roman Romania 24 1.4k 1.0× 649 0.7× 171 0.4× 328 0.9× 274 1.0× 75 2.3k
Tsu‐Tian Lee Taiwan 28 1.8k 1.4× 786 0.9× 317 0.7× 295 0.9× 276 1.0× 204 2.8k
Yinyan Zhang China 29 1.3k 1.0× 676 0.8× 389 0.8× 170 0.5× 206 0.8× 98 2.3k

Countries citing papers authored by Ching‐Hung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Hung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Hung Lee. 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 Ching‐Hung Lee. The network helps show where Ching‐Hung Lee may publish in the future.

Co-authorship network of co-authors of Ching‐Hung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Hung Lee. A scholar is included among the top collaborators of Ching‐Hung Lee 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 Ching‐Hung Lee. Ching‐Hung Lee 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.
Lee, Ching‐Hung, et al.. (2025). RoboTuni: An Intelligent Servo-Tuning for Improving Path Accuracy in Robot Manipulators. IEEE Sensors Journal. 25(15). 29584–29596.
2.
Hung, Chung‐Wen, et al.. (2025). TinyFL_HKD: Enhancing Edge AI Federated Learning With Hierarchical Knowledge Distillation Framework. IEEE Sensors Journal. 25(7). 12038–12047.
3.
Li, Jingjing, Ching‐Hung Lee, Yanhong Zhou, et al.. (2024). A novel AI-driven EEG generalized classification model for cross-subject and cross-scene analysis. Advanced Engineering Informatics. 63. 102971–102971. 3 indexed citations
4.
Li, Fan, et al.. (2024). Mirror the mind of crew: Maritime risk analysis with explicit cognitive processes in a human digital twin. Advanced Engineering Informatics. 62. 102746–102746. 7 indexed citations
5.
Hung, Chung‐Wen, et al.. (2024). Enhancing Edge-Based Federated Learning With Privacy-Preserving Gradient Transmission for Tool Wear Detection. IEEE Sensors Journal. 24(12). 19780–19790. 3 indexed citations
6.
Huang, Guanying & Ching‐Hung Lee. (2024). Industrial federated learning algorithm (P-PFedSGD) for tool wear estimation. Future Generation Computer Systems. 158. 150–157. 3 indexed citations
7.
8.
Lee, Ching‐Hung, et al.. (2023). A Novel Label Smoothing Technique for Machine Degradation. IFAC-PapersOnLine. 56(2). 4430–4435.
9.
Lee, Ching‐Hung, et al.. (2023). Optimization of Sensors for Structure Damage Detection Using Deep Learning Approach. IEEE Sensors Journal. 23(21). 26401–26410. 5 indexed citations
10.
Lee, Ching‐Hung, et al.. (2023). Generalized Optimal EEG Channels Selection for Motor Imagery Brain–Computer Interface. IEEE Sensors Journal. 23(20). 25356–25366. 5 indexed citations
11.
Chen, Hsin‐Yi, et al.. (2022). Glaucoma Detection Using Support Vector Machine Method Based on Spectralis OCT. Diagnostics. 12(2). 391–391. 23 indexed citations
12.
Hung, Chung‐Wen, et al.. (2022). Transmission Power Control in Wireless Sensor Networks Using Fuzzy Adaptive Data Rate. Sensors. 22(24). 9963–9963. 11 indexed citations
13.
Hung, Chung‐Wen, et al.. (2022). SoC-Based Early Failure Detection System Using Deep Learning for Tool Wear. IEEE Access. 10. 70491–70501. 13 indexed citations
14.
Lee, Ching‐Hung, et al.. (2021). Deep Learning Approach for Vibration Signals Applications. Sensors. 21(11). 3929–3929. 42 indexed citations
15.
Chiu, Hung‐Wei & Ching‐Hung Lee. (2020). Intelligent Machining System Based on CNC Controller Parameter Selection and Optimization. IEEE Access. 8. 51062–51070. 8 indexed citations
16.
Lee, Ching‐Hung, et al.. (2020). Virtual feed drive system of machine tools development and applications in diagnosis and servo‐tuning. Asian Journal of Control. 22(6). 2167–2182. 8 indexed citations
17.
Lee, Ching‐Hung, et al.. (2020). Vibration Signals Analysis by Explainable Artificial Intelligence (XAI) Approach: Application on Bearing Faults Diagnosis. IEEE Access. 8. 134246–134256. 129 indexed citations
18.
Lee, Ching‐Hung, et al.. (2019). Regressor-free adaptive fuzzy force tracking control of redundant robot manipulator for task space. Advances in Mechanical Engineering. 11(9). 4 indexed citations
19.
Lee, Ching‐Hung, et al.. (2015). A Modification Artificial Bee Colony Algorithm for Optimization Problems. Mathematical Problems in Engineering. 2015. 1–14. 11 indexed citations
20.
Lin, Chih‐Min, et al.. (2014). ANFIS-based Indoor Location Awareness System for the Position Monitoring of Patients. Acta Polytechnica Hungarica. 11(1). 8 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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2026