Ching‐En Lee

494 total citations
27 papers, 352 citations indexed

About

Ching‐En Lee is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ching‐En Lee has authored 27 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Industrial and Manufacturing Engineering, 11 papers in Electrical and Electronic Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ching‐En Lee's work include Scheduling and Optimization Algorithms (10 papers), Advanced Manufacturing and Logistics Optimization (9 papers) and CCD and CMOS Imaging Sensors (6 papers). Ching‐En Lee is often cited by papers focused on Scheduling and Optimization Algorithms (10 papers), Advanced Manufacturing and Logistics Optimization (9 papers) and CCD and CMOS Imaging Sensors (6 papers). Ching‐En Lee collaborates with scholars based in Taiwan, United States and Australia. Ching‐En Lee's co-authors include Fuh‐Der Chou, Yu‐Hsin Lin, Zhengya Zhang, Zhang Jie-Fang, Stephen W. Keckler, Yakun Sophia Shao, Kevin S. McIver, Elise R. Hondorp, Ping‐Feng Pai and Chih‐Lung Lin and has published in prestigious journals such as Journal of The Electrochemical Society, IEEE Transactions on Industrial Electronics and European Journal of Operational Research.

In The Last Decade

Ching‐En Lee

25 papers receiving 343 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‐En Lee Taiwan 9 139 100 62 39 35 27 352
Hongjian Chen China 11 30 0.2× 160 1.6× 35 0.6× 36 0.9× 87 2.5× 44 621
Matheus F. Torquato United Kingdom 10 15 0.1× 130 1.3× 37 0.6× 13 0.3× 98 2.8× 17 346
Tae Seon Kim South Korea 10 34 0.2× 65 0.7× 4 0.1× 70 1.8× 21 0.6× 44 368
Yasumasa Tamura Japan 9 28 0.2× 46 0.5× 120 1.9× 3 0.1× 41 1.2× 21 313
Heman Shakeri United States 9 117 0.8× 12 0.1× 14 0.2× 36 0.9× 10 0.3× 29 289
André Luís Dias Brazil 8 75 0.5× 26 0.3× 3 0.0× 128 3.3× 34 1.0× 42 447
Sanket Biswas India 10 27 0.2× 13 0.1× 80 1.3× 13 0.3× 45 1.3× 32 289
Paolo Ballarini Italy 11 12 0.1× 16 0.2× 11 0.2× 9 0.2× 37 1.1× 29 343
Lídia Sánchez-González Spain 11 57 0.4× 113 1.1× 47 0.8× 24 0.6× 49 1.4× 41 347
Jari Hannuksela Finland 11 5 0.0× 61 0.6× 191 3.1× 12 0.3× 13 0.4× 38 322

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-authorship network of co-authors of Ching‐En Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐En Lee. A scholar is included among the top collaborators of Ching‐En 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‐En Lee. Ching‐En 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.
Chen, Giin-Shan, Ching‐En Lee, Yi-Lung Cheng, et al.. (2022). Enhancement of Electromigration Reliability of Electroless-Plated Nanoscaled Copper Interconnects by Complete Encapsulation of a 1 nm-Thin Self-Assembled Monolayer. Journal of The Electrochemical Society. 169(8). 82519–82519. 3 indexed citations
2.
Tang, Wei, et al.. (2022). VOTA: A Heterogeneous Multicore Visual Object Tracking Accelerator Using Correlation Filters. IEEE Journal of Solid-State Circuits. 57(11). 3490–3502.
3.
Fang, Jau-Shiung, Ching‐En Lee, Yi-Lung Cheng, & Giin-Shan Chen. (2021). Strengthening the Electromigration Resistance of Nanoscaled Copper Lines by (3-aminopropyl)trimethoxysilane Self-Assembled Monolayer. ECS Journal of Solid State Science and Technology. 10(8). 83007–83007. 5 indexed citations
4.
5.
Tang, Wei, et al.. (2021). VOTA: A 2.45TFLOPS/W Heterogeneous Multi-Core Visual Object Tracking Accelerator Based on Correlation Filters. ANU Open Research (Australian National University). 1–2. 1 indexed citations
6.
Jie-Fang, Zhang, et al.. (2020). SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference. IEEE Journal of Solid-State Circuits. 56(2). 636–647. 60 indexed citations
7.
Lin, Chih‐Lung, et al.. (2019). A Pre-Bootstrapping Method for Use in Gate Driver Circuits to Improve the Scan Pulse Delay of High-Resolution TFT-LCD Systems. IEEE Transactions on Industrial Electronics. 67(8). 7015–7024. 7 indexed citations
8.
Chen, Thomas, et al.. (2019). A 135-mW 1.70TOPS Sparse Video Sequence Inference SoC for Action Classification. IEEE Journal of Solid-State Circuits. 54(7). 2081–2090.
9.
Lee, Ching‐En, Thomas Chen, & Zhengya Zhang. (2017). A 127mW 1.63TOPS sparse spatio-temporal cognitive SoC for action classification and motion tracking in videos. C226–C227. 1 indexed citations
10.
Lin, Chih‐Lung, et al.. (2015). P‐41: New a‐IGZO TFT Gate Driver Circuit with Threshold Voltage Shift Recovery Driving Scheme. SID Symposium Digest of Technical Papers. 46(1). 1293–1296. 4 indexed citations
11.
Lin, Yu‐Hsin, et al.. (2007). A Dynamic Releasing Scheme for Wafer Fabrication. The International Journal of the Computer, the Internet and Management. 15(1). 33–42. 2 indexed citations
12.
Chou, Fuh‐Der, et al.. (2005). A heuristic algorithm to minimize total weighted tardiness on a single machine with release times. International Transactions in Operational Research. 12(2). 215–233. 5 indexed citations
13.
Chou, Fuh‐Der, et al.. (2004). A HEURISTIC ALGORITHM TO MINIMIZE TOTAL WEIGHTED TARDINESS ON A SINGLE MACHINE WITH RELEASE DATES AND SEQUENCE-DEPENDENT SETUP TIMES. Journal of the Chinese Institute of Industrial Engineers. 21(3). 289–300. 8 indexed citations
14.
Chou, Fuh‐Der, et al.. (2004). A HEURISTIC ALGORITHM TO MINIMIZE TOTAL WEIGHTED TARDINESS ON A SINGLE MACHINE WITH RELEASE DATES AND SEQUENCE-DEPENDENT SETUP TIMES. Journal of the Chinese Institute of Industrial Engineers. 21(3). 289–300. 8 indexed citations
15.
Lin, Yu‐Hsin & Ching‐En Lee. (2001). A total standard WIP estimation method for wafer fabrication. European Journal of Operational Research. 131(1). 78–94. 32 indexed citations
16.
Chen, Yu‐Chang & Ching‐En Lee. (2001). A BOTTLENECK-BASED GROUP SCHEDULING PROCEDURE FOR JOB-SHOP CELLS. Journal of the Chinese Institute of Industrial Engineers. 18(5). 1–12. 4 indexed citations
17.
Chang, Yu-Jen & Ching‐En Lee. (2000). A bottleneck-based due-date assignment methodology. International Journal of Manufacturing Technology and Management. 1(2/3). 318–318. 6 indexed citations
18.
Chen, Hsi-Chuan & Ching‐En Lee. (2000). 控擋片降級選擇之管理. Journal of the Chinese Institute of Industrial Engineers. 17(4). 437–449. 4 indexed citations
19.
Chou, Fuh‐Der & Ching‐En Lee. (1999). Two-machine flowshop scheduling with bicriteria problem. Computers & Industrial Engineering. 36(3). 549–564. 28 indexed citations
20.
Lee, Ching‐En. (1990). Assembly line design-methodology and applications. Journal of Manufacturing Systems. 9(4). 366–366. 20 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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