Shengli Pan

1.2k total citations · 1 hit paper
76 papers, 849 citations indexed

About

Shengli Pan is a scholar working on Computer Networks and Communications, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Shengli Pan has authored 76 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 12 papers in Molecular Biology and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Shengli Pan's work include Network Traffic and Congestion Control (9 papers), IoT and Edge/Fog Computing (8 papers) and Software-Defined Networks and 5G (6 papers). Shengli Pan is often cited by papers focused on Network Traffic and Congestion Control (9 papers), IoT and Edge/Fog Computing (8 papers) and Software-Defined Networks and 5G (6 papers). Shengli Pan collaborates with scholars based in China, Japan and Hong Kong. Shengli Pan's co-authors include Deze Zeng, Lin Gu, Song Guo, Yunxia Deng, Tao Guo, Guangmin Hu, Hui Xie, Xianju Qin, Zhijin Zhang and Zhiyong Zhang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Nano Energy.

In The Last Decade

Shengli Pan

68 papers receiving 822 citations

Hit Papers

Bilinear Spatiotemporal Fusion Network: An efficient appr... 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow prediction
    2025 18 citations Jing Chen, Shengli Pan et al. Neural Networks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shengli Pan China 17 249 230 122 115 77 76 849
Aiping Li China 19 358 1.4× 88 0.4× 51 0.4× 86 0.7× 110 1.4× 128 1.1k
Joachim Baumann Germany 14 154 0.6× 252 1.1× 66 0.5× 74 0.6× 98 1.3× 42 1.1k
Lin Huang China 19 127 0.5× 383 1.7× 247 2.0× 129 1.1× 79 1.0× 98 1.1k
Sung‐Soo Kim South Korea 18 408 1.6× 66 0.3× 53 0.4× 101 0.9× 33 0.4× 44 1.0k
Yajuan Qin China 22 563 2.3× 281 1.2× 117 1.0× 445 3.9× 41 0.5× 85 1.6k
Praveen Thaggikuppe Krishnamurthy India 23 516 2.1× 635 2.8× 68 0.6× 136 1.2× 301 3.9× 136 2.1k
Demin Gao China 18 132 0.5× 268 1.2× 201 1.6× 190 1.7× 49 0.6× 86 1.0k
Hafiz Muhammad Irfan Pakistan 14 83 0.3× 84 0.4× 114 0.9× 82 0.7× 44 0.6× 53 625
Xinli Huang China 26 724 2.9× 129 0.6× 66 0.5× 84 0.7× 83 1.1× 101 1.7k

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-authorship network of co-authors of Shengli Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Shengli Pan. A scholar is included among the top collaborators of Shengli Pan 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 Shengli Pan. Shengli Pan 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
1.
Pan, Shengli, et al.. (2025). Collaborative Communication for Edge LLM Servicing in Adversarial Networks: An MARL-Empowered Stackelberg Game Approach. IEEE Internet of Things Journal. 12(20). 41309–41317. 1 indexed citations
2.
3.
Cao, Siyuan, He Zhao, Ang Liu, et al.. (2025). Mechanism analysis of 2 µm thulium-doped picosecond laser ablation on myocardial tissue in minimizing thermal injury. Optics Express. 33(5). 10419–10419.
4.
Chen, Jing, Shengli Pan, Weimin Peng, & Wenqiang Xu. (2025). Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow prediction. Neural Networks. 187. 107382–107382. 18 indexed citations breakdown →
5.
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Wang, Xiuhong, Zhaochen Cheng, Xin Zhang, et al.. (2024). Single‐crystalline indium selenide fibers by laser‐induced recrystallization and their tunable whispering‐gallery‐mode lasing by pressure‐modulating. Journal of the American Ceramic Society. 107(9). 5801–5809.
7.
Wang, Yuexia, Yi Yi, Shengli Pan, et al.. (2023). Angiopoietin‐like protein 3 promotes colorectal cancer progression and liver metastasis partly via the mitogen‐activated protein kinase 14 pathway. Molecular Carcinogenesis. 62(4). 546–560. 7 indexed citations
8.
Wu, Shen, et al.. (2023). Effect of Iron Powder Type on Friction and Wear Properties of Copper-Based Friction Powder Metallurgy Material. Tribology Transactions. 66(6). 1019–1025. 8 indexed citations
9.
Wang, Yuexia, Shengli Pan, Xinhong He, et al.. (2021). CPNE1 Enhances Colorectal Cancer Cell Growth, Glycolysis, and Drug Resistance Through Regulating the AKT-GLUT1/HK2 Pathway. OncoTargets and Therapy. Volume 14. 699–710. 30 indexed citations
10.
Pan, Shengli, Yingying Deng, Jun Fu, et al.. (2019). TRIM52 promotes colorectal cancer cell proliferation through the STAT3 signaling. Cancer Cell International. 19(1). 57–57. 43 indexed citations
11.
Pan, Shengli, Yingying Deng, Jun Fu, et al.. (2018). Tumor Suppressive Role of ARHGAP17 in Colon Cancer Through Wnt/β-Catenin Signaling. Cellular Physiology and Biochemistry. 46(5). 2138–2148. 17 indexed citations
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13.
Pan, Shengli, Zhiwei Wang, Yinan Chen, et al.. (2013). Inactivation of tumor suppressor gene HIC1 in gastric cancer is reversed via small activating RNAs. Gene. 527(1). 102–108. 13 indexed citations
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Guo, Tao, Hui Xie, Yunxia Deng, & Shengli Pan. (2011). A new lignan and other constituents fromZanthoxylum armatumDC.. Natural Product Research. 26(9). 859–864. 22 indexed citations
16.
Guo, Tao, Yunxia Deng, Hui Xie, et al.. (2010). Antinociceptive and anti-inflammatory activities of ethyl acetate fraction from Zanthoxylum armatum in mice. Fitoterapia. 82(3). 347–351. 80 indexed citations
17.
Zhao, Ting, Guirui Yan, Shengli Pan, Heyao Wang, & Ai‐Jun Hou. (2009). New Isoprenylated 2‐Arylbenzofurans and Pancreatic Lipase Inhibitory Constituents from Artocarpus nitidus. Chemistry & Biodiversity. 6(12). 2209–2216. 17 indexed citations
18.
Huo, Keke, et al.. (2007). A molecular phylogenetic study of Huperziaceae based on chloroplast rbcL and psbA-trnH sequences. Journal of Systematics and Evolution. 46(2). 213–219. 26 indexed citations
19.
Pan, Shengli, et al.. (2005). [Antidepressant amides from Piper laetispicum C. DC].. PubMed. 40(4). 355–7. 11 indexed citations
20.
Pan, Shengli, Kan Liu, & Gang Shen. (1992). Studies on Chinese Medicinal Herbs Increasing the Rate of Orthodontic Tooth Movement. 46(2). 131–135. 2 indexed citations

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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