Hung‐Che Ting

446 citations
15 papers · 390 · h-index 10

Impact in

Papers in

Hung‐Che Ting

15 papers receiving 381 citations

Peers

Hung‐Che Ting
Comparison fields: 5 of 26
  • Electrical and Electronic Engineering 383
  • Polymers and Plastics 77
  • Materials Chemistry 193
  • Biomedical Engineering 30
  • Computer Vision and Pattern Recognition 13
Replace Narihiro Morosawa with:
Narihiro Morosawa Taiwan
Binn Kim South Korea
Tatsuya Onuki Japan
Henri Doyeux France
K. Sakariya Canada
Kichan Jeon South Korea
Daisuke Matsubayashi Japan
Minkyung Bae South Korea
H. C. Slade United States
Luis Miguel Rego Pires Portugal
Hung‐Che Ting relative to Narihiro Morosawa Taiwan Narihiro Morosawa's profile →
Citations per field
00.5×1.5×2.4×
Narihiro Morosawa · 1×
Citations per year

Countries citing papers authored by Hung‐Che Ting

Since Specialization
Citations

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

Fields of papers citing papers by Hung‐Che Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Hung‐Che Ting, 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‐Che Ting Line = papers co-authored together Hung‐Che Ting links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201077
2 201042
3 201242
4 201241
5 201240
6 201435
7 201231
8 201224
9 201213
10 201412
11 20148
12 20148
13 20138
14 20137
15 20212

About Hung‐Che Ting

Hung‐Che Ting is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 390 indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (14 papers), ZnO doping and properties (9 papers), Silicon and Solar Cell Technologies (5 papers), Organic Light-Emitting Diodes Research (4 papers), Semiconductor materials and devices (2 papers), Transition Metal Oxide Nanomaterials (2 papers), Image and Object Detection Techniques (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (383 citations), Polymers and Plastics (77 citations), Materials Chemistry (193 citations), Biomedical Engineering (30 citations) and Computer Vision and Pattern Recognition (13 citations). Hung‐Che Ting has collaborated with scholars based in Taiwan. Frequent co-authors include Chia‐Yu Chen, Ting‐Chang Chang, Tien‐Yu Hsieh, Ming-Yen Tsai, Te-Chih Chen, Chia‐Yu Chen, Hsing‐Hung Hsieh, Ann‐Kuo Chu, Fu-Yen Jian and Chien‐Chuan Chen. Their work appears in journals such as IEEE Electron Device Letters, Applied Physics Letters, Solid-State Electronics, Journal of Information Display and IEEE Transactions on Electron Devices.

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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