Ching‐En Lee

575 citations
30 papers · 439 · h-index 11

Impact in

Papers in

Ching‐En Lee

28 papers receiving 429 citations

Peers

Ching‐En Lee
Comparison fields: 5 of 76
  • Industrial and Manufacturing Engineering 148
  • Computational Mathematics 2
  • Computer Vision and Pattern Recognition 69
  • Hardware and Architecture 22
  • Electrical and Electronic Engineering 129
Replace Hongjian Chen with:
Hongjian Chen China
Michael S. Adamowicz United States
Wen Qin China
Matheus F. Torquato United Kingdom
Tae Seon Kim South Korea
Yasumasa Tamura Japan
Qian Xiao China
Marco Montes de Chile
Bowen Luo China
Jiayi Liu China
Ching‐En Lee relative to Hongjian Chen China Hongjian Chen's profile →
Citations per field
00.5×4.1×
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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201365
2 202065
3 201938
4 201637
5 200135
6 199931
7 201525
8 200423
9 199021
10 201514
11 199711
12 20048
13 20198
14 20048
15 20167
16 20006
17 20215
18 20055
19 20195
20 20004

About Ching‐En Lee

Ching‐En Lee is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials and Computer Networks and Communications, having authored 30 papers that have together received 439 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 (7 papers), Assembly Line Balancing Optimization (5 papers), Thin-Film Transistor Technologies (5 papers), Advanced Vision and Imaging (3 papers), Molecular Junctions and Nanostructures (3 papers) and Copper Interconnects and Reliability (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (148 citations), Computational Mathematics (2 citations), Computer Vision and Pattern Recognition (69 citations), Hardware and Architecture (22 citations) and Electrical and Electronic Engineering (129 citations). Ching‐En Lee has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Fuh‐Der Chou, Yu‐Hsin Lin, Zhengya Zhang, Stephen W. Keckler, Zhang Jie-Fang, Yakun Sophia Shao, Kevin S. McIver, Elise R. Hondorp, Chih‐Lung Lin and Ping‐Feng Pai. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Electron Device Letters, Molecular Cell, Computers & Industrial Engineering and International Transactions in Operational Research.

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.

Explore authors with similar magnitude of impact