Ching‐En Lee

494 citations
27 papers · 352 · h-index 9

Impact in

Papers in

Ching‐En Lee

25 papers receiving 343 citations

Peers

Ching‐En Lee
Comparison fields: 5 of 66
  • Industrial and Manufacturing Engineering 139
  • Computational Mathematics 2
  • Hardware and Architecture 21
  • Computer Vision and Pattern Recognition 62
  • Management Information Systems 17
Replace Hongjian Chen with:
Hongjian Chen China
Matheus F. Torquato United Kingdom
Paolo Ballarini Italy
Heman Shakeri United States
Tae Seon Kim South Korea
Jiandong Zhu China
Yasumasa Tamura Japan
Masaki Ogura Japan
Rajesh Cherukuri United States
André Luís Dias Brazil
Ching‐En Lee relative to Hongjian Chen China Hongjian Chen's profile →
Citations per field
00.5×4.6×
Hongjian Chen · 1×
Citations per year

Countries citing papers authored by Ching‐En Lee

Since Specialization
Citations

This map shows the geographic impact of Ching‐En 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‐En 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‐En Lee more than expected).

Fields of papers citing papers by Ching‐En Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ching‐En Lee, 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 Ching‐En Lee Line = papers co-authored together Ching‐En Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202060
2 201360
3 201937
4 200132
5 199928
6 200422
7 199020
8 201514
9 199711
10 20048
11 20048
12 20197
13 20167
14 20006
15 20215
16 20055
17 20004
18 20154
19 20014
20 20223

About Ching‐En Lee

Ching‐En Lee is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials and Computer Networks and Communications, having authored 27 papers that have together received 352 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (10 papers), Advanced Manufacturing and Logistics Optimization (9 papers), CCD and CMOS Imaging Sensors (6 papers), Assembly Line Balancing Optimization (5 papers), Thin-Film Transistor Technologies (4 papers), Copper Interconnects and Reliability (3 papers), Molecular Junctions and Nanostructures (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (139 citations), Computational Mathematics (2 citations), Hardware and Architecture (21 citations), Computer Vision and Pattern Recognition (62 citations) and Management Information Systems (17 citations). Ching‐En Lee has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Fuh‐Der Chou, Zhengya Zhang, Yu‐Hsin Lin, Zhang Jie-Fang, Stephen W. Keckler, Yakun Sophia Shao, Elise R. Hondorp, Kevin S. McIver, Ping‐Feng Pai and Chih‐Lung Lin. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Molecular Microbiology, IEEE Electron Device Letters, IEEE Transactions on Industrial Electronics and The International Journal of Advanced Manufacturing Technology.

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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