Ting Feng

7.2k total citations · 2 hit papers
342 papers, 4.8k citations indexed

About

Ting Feng is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Ting Feng has authored 342 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 187 papers in Electrical and Electronic Engineering, 117 papers in Atomic and Molecular Physics, and Optics and 23 papers in Materials Chemistry. Recurrent topics in Ting Feng's work include Advanced Fiber Optic Sensors (129 papers), Advanced Fiber Laser Technologies (104 papers) and Photonic Crystal and Fiber Optics (90 papers). Ting Feng is often cited by papers focused on Advanced Fiber Optic Sensors (129 papers), Advanced Fiber Laser Technologies (104 papers) and Photonic Crystal and Fiber Optics (90 papers). Ting Feng collaborates with scholars based in China, United States and Japan. Ting Feng's co-authors include Fengping Yan, David J. Foster, X. Steve Yao, Wanjing Peng, Shuo Liu, Yuping Suo, Siyu Tan, Luna Zhang, Hong Zhou and Ying‐Feng Han and has published in prestigious journals such as Cell, Angewandte Chemie International Edition and Neuron.

In The Last Decade

Ting Feng

299 papers receiving 4.6k citations

Hit Papers

Achieving excellent mechanical and robust lubrication beh... 2024 2026 2025 2024 2025 10 20 30 40 50

Peers

Ting Feng
Comparison fields: 5 of 178
  • Electrical and Electronic Engineering 2.0k
  • Atomic and Molecular Physics, and Optics 1.5k
  • Molecular Biology 585
  • Materials Chemistry 387
  • Biomedical Engineering 382
Replace Matjaž Humar with:
Matjaž Humar Slovenia
Masahiro Sasaki Japan
Aimin Wang China
Jianzhong Chen China
Jiamin Chen China
Yazhou Wang China
Hiroshi Ono Japan
Masao Kobayashi Japan
Jinjin Li China
Takayuki Fujita Japan
Matjaž Humar Slovenia View profile →
Citations per field, relative to Ting Feng
Ting Feng · 1×
Citations per year, relative to Ting Feng
Ting Feng · 1×

Countries citing papers authored by Ting Feng

Since Specialization
Citations

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

Fields of papers citing papers by Ting Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Feng. A scholar is included among the top collaborators of Ting Feng 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 Ting Feng. Ting Feng 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
# Work Indexed citations
1
Vision-Language Models in medical image analysis: From simple fusion to general large models breakdown →
22
2 17
3 0
4 0
5 0
6 0
7 1
8 0
9 12
10 3
11 4
12 3
13 1
14 5
15 6
16 2
17 2
18 7
19 14
20 7

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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