Hung‐Ching Lu

967 citations
71 papers · 745 · h-index 16

Impact in

Papers in

Hung‐Ching Lu

67 papers receiving 673 citations

Peers

Hung‐Ching Lu
Comparison fields: 5 of 71
  • Control and Systems Engineering 356
  • Signal Processing 76
  • Artificial Intelligence 209
  • Computer Vision and Pattern Recognition 110
  • Mechanical Engineering 193
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Kai Zenger Finland
Theo J.A. de Vries Netherlands
Dragan Antić Serbia
L.B. Jack United Kingdom
Mouayad A. Sahib Iraq
Brahim Benaissa Japan
Zhihe Zhuang China
Madhusudan Singh India
Ka C. Cheok United States
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Citations per field
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Citations per year

Countries citing papers authored by Hung‐Ching Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Ching Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Hung‐Ching Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hung‐Ching Lu Line = papers co-authored together Hung‐Ching Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200676
2 198875
3 200039
4 199439
5 200628
6 201128
7 201222
8 200222
9 199321
10 200020
11 200619
12 200017
13 200316
14 199316
15 201016
16 199915
17 201015
18
The optimal cutting parameter design of rough cutting process in side milling
200814
19 200014
20 200614

About Hung‐Ching Lu

Hung‐Ching Lu is a scholar working on Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 71 papers that have together received 745 indexed citations. Recurring topics across this work include Neural Networks and Applications (16 papers), Fuzzy Logic and Control Systems (16 papers), Adaptive Control of Nonlinear Systems (13 papers), Digital Filter Design and Implementation (9 papers), Advanced Algorithms and Applications (8 papers), Iterative Learning Control Systems (8 papers), Image and Signal Denoising Methods (8 papers) and Sensorless Control of Electric Motors (6 papers). The work is most often cited by research in Control and Systems Engineering (356 citations), Signal Processing (76 citations), Artificial Intelligence (209 citations), Computer Vision and Pattern Recognition (110 citations) and Mechanical Engineering (193 citations). Hung‐Ching Lu has collaborated with scholars based in Taiwan, China and Yemen. Frequent co-authors include Ching‐Kao Chang, Ming‐Feng Yeh, Cheng‐Hung Tsai, Bor‐Sen Chen, Chih-Hsun Chou, Shuenn‐Shyang Wang, Shun‐Feng Su, Pin‐Lin Liu and Kuang‐Chiung Chang. Their work appears in journals such as Signal Processing, Neurocomputing, The International Journal of Advanced Manufacturing Technology, International Journal of Control and Computers in Industry.

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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