Shengli Pan

1.2k citations
77 papers · 845 · h-index 16

Impact in

Papers in

Shengli Pan

65 papers receiving 822 citations

Peers

Shengli Pan
Comparison fields: 5 of 117
  • Computer Networks and Communications 232
  • Pharmacology 54
  • Biological Psychiatry 11
  • Cancer Research 62
  • Pharmacology 60
Replace Siyuan Jiang with:
Siyuan Jiang China
Miran Kim South Korea
Eva Chovancová Slovakia
Ruijie Zhang China
Sung‐Soo Kim South Korea
Tian Guo United States
Wan Gong China
Shengli Pan relative to Siyuan Jiang China Siyuan Jiang's profile →
Citations per field
00.5×8.8×
Siyuan Jiang · 1×
Citations per year

Countries citing papers authored by Shengli Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shengli Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019123
2 201080
3 201960
4 201943
5 202131
6 201829
7 200726
8
Isolation and preliminary identification of the endophytic fungi which produce Hupzine A from four species in Hupziaceae and determination of Huperzine A by HPLC
200926
9 201122
10 202121
11 200720
12 201420
13 200917
14 201117
15 201817
16 202016
17 202414
18 201914
19 201313
20 199313

About Shengli Pan

Shengli Pan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology, Artificial Intelligence and Pharmacology, having authored 77 papers that have together received 845 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Network Traffic and Congestion Control (8 papers), Software-Defined Networks and 5G (6 papers), Network Security and Intrusion Detection (5 papers), Age of Information Optimization (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Privacy-Preserving Technologies in Data (3 papers). The work is most often cited by research in Computer Networks and Communications (232 citations), Pharmacology (54 citations), Biological Psychiatry (11 citations), Cancer Research (62 citations) and Pharmacology (60 citations). Shengli Pan has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Deze Zeng, Lin Gu, Song Guo, Yunxia Deng, Tao Guo, Hui Xie, Guangmin Hu, Xianju Qin, Zhijin Zhang and Zongwang Zhang. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Network, The American Journal of Chinese Medicine, IEEE Communications Letters and Fitoterapia.

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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