Fangwei Li

511 citations
52 papers · 374 · h-index 11

Impact in

Papers in

Fangwei Li

44 papers receiving 366 citations

Peers

Fangwei Li
Comparison fields: 5 of 77
  • Cancer Research 61
  • Computer Networks and Communications 85
  • Electrical and Electronic Engineering 146
  • Molecular Biology 109
  • Pulmonary and Respiratory Medicine 46
Replace Diana Zhang with:
Diana Zhang United States
Zijun Zhao China
Nauman Javed United States
Ziyan Zhao China
Brandon Wang United States
Nan Sha China
Jiaxing He China
Katsumi Sakakibara Japan
Feng Zeng China
Fangwei Li relative to Diana Zhang United States Diana Zhang's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Fangwei Li

Since Specialization
Citations

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

Fields of papers citing papers by Fangwei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201752
2 202044
3 201631
4 201626
5 201823
6 201617
7 201717
8 202113
9 201711
10 202111
11 201711
12 201510
13 20219
14 20189
15 20188
16 20178
17 20228
18 20227
19 20237
20 20136

About Fangwei Li

Fangwei Li is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Molecular Biology, Information Systems and Cancer Research, having authored 52 papers that have together received 374 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (7 papers), Energy Harvesting in Wireless Networks (6 papers), Full-Duplex Wireless Communications (5 papers), Cancer-related molecular mechanisms research (5 papers), Evaluation Methods in Various Fields (4 papers), Microwave Imaging and Scattering Analysis (4 papers), Cooperative Communication and Network Coding (4 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Cancer Research (61 citations), Computer Networks and Communications (85 citations), Electrical and Electronic Engineering (146 citations), Molecular Biology (109 citations) and Pulmonary and Respiratory Medicine (46 citations). Fangwei Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Huaping Liu, Jiang Zhu, Yixin Wan, Manxiang Li, Haibo Zhang, Qing Huang, Wenhua Shi, Yanting Zhu, Qingting Wang and Dan Wang. Their work appears in journals such as Digital Communications and Networks, Wireless Personal Communications, Frontiers in Oncology, Sensors and Aesthetic Surgery Journal.

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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