Shining Li

1.2k citations
96 papers · 833 · h-index 17

Impact in

Papers in

Shining Li

86 papers receiving 795 citations

Peers

Shining Li
Comparison fields: 5 of 121
  • Computer Networks and Communications 226
  • Catalysis 35
  • Computer Vision and Pattern Recognition 73
  • Electrical and Electronic Engineering 204
  • Automotive Engineering 42
Replace Mingwei Liu with:
Mingwei Liu China
Ziwei Zheng China
Yu Ren China
Shanshan Fan China
Fida Hussain Memon Pakistan
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Zhongjie Wang China
Huaqing Zhang China
Shining Li relative to Mingwei Liu China Mingwei Liu's profile →
Citations per field
00.5×4.7×
Mingwei Liu · 1×
Citations per year

Countries citing papers authored by Shining Li

Since Specialization
Citations

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

Fields of papers citing papers by Shining Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201162
2 201947
3 201038
4 201935
5 202130
6 201326
7 201125
8 201924
9 202121
10 201320
11 201920
12 201919
13 202119
14 201817
15 202017
16 201316
17 202116
18 202215
19 201715
20 201114

About Shining Li

Shining Li is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Organic Chemistry, Control and Systems Engineering and Artificial Intelligence, having authored 96 papers that have together received 833 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (24 papers), Mobile Ad Hoc Networks (9 papers), Energy Harvesting in Wireless Networks (8 papers), Wireless Networks and Protocols (8 papers), Indoor and Outdoor Localization Technologies (6 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Security in Wireless Sensor Networks (5 papers) and Wireless Sensor Networks and IoT (5 papers). The work is most often cited by research in Computer Networks and Communications (226 citations), Catalysis (35 citations), Computer Vision and Pattern Recognition (73 citations), Electrical and Electronic Engineering (204 citations) and Automotive Engineering (42 citations). Shining Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhigang Li, Xingshe Zhou, Junyan Ma, Zhihui Yang, Wenge Qiu, Jin Cui, Ying Cheng, Yu Zhang, Tao Cheng and Li Zhong. Their work appears in journals such as Annals of Surgical Oncology, IEEE Access, Knowledge-Based Systems, DNA and Cell Biology and The Journal of Organic Chemistry.

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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