Wei Jin

2.5k citations
162 papers · 1.9k · h-index 23

Impact in

Papers in

Wei Jin

147 papers receiving 1.8k citations

Peers

Wei Jin
Comparison fields: 5 of 144
  • Electrical and Electronic Engineering 752
  • Ecological Modeling 55
  • Paleontology 85
  • Signal Processing 115
  • Water Science and Technology 101
Replace Sunghwan Jung with:
Sunghwan Jung United States
David F. Gruber United States
Tali Treibitz Israel
Hsin‐I Wu United States
R. Williams United Kingdom
Yuan Fu China
Jing Hai Zhu China
Robert Hickling United States
Siu‐Chung Wong Hong Kong
Dapeng Zhao China
Wei Jin relative to Sunghwan Jung United States Sunghwan Jung's profile →
Citations per field
00.5×2×3×3.9×
Sunghwan Jung · 1×
Citations per year

Countries citing papers authored by Wei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007133
2 201385
3 201459
4 201657
5 202257
6 202352
7 199951
8 201049
9 200347
10 201145
11 201945
12 202045
13 199740
14 201739
15 201736
16 201435
17 201434
18 199932
19 202329
20 201429

About Wei Jin

Wei Jin is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Paleontology, Genetics and Signal Processing, having authored 162 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Photonic Communication Systems (57 papers), Optical Network Technologies (57 papers), Advanced Optical Network Technologies (21 papers), Photonic and Optical Devices (15 papers), Advanced Fiber Laser Technologies (9 papers), PAPR reduction in OFDM (9 papers), Genetic diversity and population structure (6 papers) and Evolution and Paleontology Studies (6 papers). The work is most often cited by research in Electrical and Electronic Engineering (752 citations), Ecological Modeling (55 citations), Paleontology (85 citations), Signal Processing (115 citations) and Water Science and Technology (101 citations). Wei Jin has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Chongfu Zhang, Chen Chen, Kun Liang Qiu, Minli Yao, Kun Qiu, Jianming M. Tang, Roger Phillip Giddings, M. Hesham El Naggar, G. J. Kluitenberg and Ya‐Ping Zhang. Their work appears in journals such as Journal of Lightwave Technology, Optics Express, IEEE photonics journal, Optics Communications and Journal of Optical Communications and Networking.

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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