Pin Lv

2.2k total citations · 1 hit paper
142 papers, 1.4k citations indexed

About

Pin Lv is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Pin Lv has authored 142 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 23 papers in Computer Networks and Communications and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Pin Lv's work include Topic Modeling (7 papers), Wireless Networks and Protocols (7 papers) and Online Learning and Analytics (6 papers). Pin Lv is often cited by papers focused on Topic Modeling (7 papers), Wireless Networks and Protocols (7 papers) and Online Learning and Analytics (6 papers). Pin Lv collaborates with scholars based in China, United States and Taiwan. Pin Lv's co-authors include Jia Xu, Deke Guo, Ming Xu, Junjie Xie, Xudong Wang, Ming Xu, Ting Jiang, Jinfang Zhang, Xin Yang and Yuan Lin and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Pin Lv

121 papers receiving 1.4k citations

Hit Papers

Lipid-accumulated reactive astrocytes promote disease pro... 2023 2026 2024 2025 2023 25 50 75
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. Lipid-accumulated reactive astrocytes promote disease progression in epilepsy
    2023 96 citations Zhang‐Peng Chen, Wen Fang et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pin Lv China 22 258 249 243 176 121 142 1.4k
Junbo Wang China 25 316 1.2× 255 1.0× 342 1.4× 231 1.3× 113 0.9× 162 2.0k
Yuanlong Li China 25 178 0.7× 314 1.3× 229 0.9× 493 2.8× 25 0.2× 77 1.7k
Shuang Chen China 26 133 0.5× 27 0.1× 199 0.8× 249 1.4× 81 0.7× 108 2.1k
Hongzhi Liu China 21 82 0.3× 378 1.5× 418 1.7× 107 0.6× 34 0.3× 126 1.7k
Shtwai Alsubai Saudi Arabia 20 174 0.7× 504 2.0× 98 0.4× 41 0.2× 39 0.3× 182 1.5k
Anupam Shukla India 27 395 1.5× 615 2.5× 237 1.0× 77 0.4× 438 3.6× 170 2.1k
Yulia Hicks United Kingdom 17 87 0.3× 387 1.6× 68 0.3× 112 0.6× 17 0.1× 81 1.2k
Muhammad Awais Pakistan 24 278 1.1× 311 1.2× 416 1.7× 232 1.3× 109 0.9× 112 1.9k
Vishal Jain India 22 233 0.9× 362 1.5× 323 1.3× 134 0.8× 43 0.4× 210 2.0k

Countries citing papers authored by Pin Lv

Since Specialization
Citations

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

Fields of papers citing papers by Pin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pin Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Pin Lv. A scholar is included among the top collaborators of Pin Lv 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 Pin Lv. Pin Lv 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.
2.
Hagiwara, Akifumi, Pin Lv, Jiahuan Liu, et al.. (2025). Low‐Intensity Focused Ultrasound Ameliorates Cisplatin‐Induced Cognitive Impairment by Attenuating Hippocampal Neuroinflammation and Enhancing Synaptic Plasticity in Rats. SHILAP Revista de lepidopterología. 3(2). 152–167. 2 indexed citations
3.
Lv, Pin, et al.. (2025). UMIENet: Underwater image enhancement based on multi-degradation knowledge integration. Optics and Lasers in Engineering. 193. 109069–109069.
4.
Xu, Jia, et al.. (2025). Coherence-Enhanced language representation learning for sequential Recommendations. Knowledge-Based Systems. 325. 113917–113917.
5.
Sun, Liguo, et al.. (2024). Anti-low angle resolution: Some adaptive improvements in anchor-based object detection algorithm for automotive radar target detection. Digital Signal Processing. 151. 104562–104562. 4 indexed citations
6.
Li, Yiqing, et al.. (2024). Numerical Study of Supersonic Jet Characteristics of Underwater Solid Rocket Engine. Journal of Spacecraft and Rockets. 62(1). 34–43. 1 indexed citations
7.
Wang, Jiaxin, et al.. (2024). Efficacy and safety of orlistat in controlling the progression of prediabetes to diabetes: A meta-analysis and systematic review. Medicine. 103(21). e38354–e38354. 4 indexed citations
8.
Xu, Jia, Pin Lv, Zhe Chen, et al.. (2024). Tracing Human Stress From Physiological Signals Using UWB Radar. IEEE Internet of Things Journal. 11(20). 32773–32790. 1 indexed citations
9.
Liu, Dongming, Jiaming Lu, Pin Lv, et al.. (2024). Olfactory deficit: a potential functional marker across the Alzheimer’s disease continuum. Frontiers in Neuroscience. 18. 1309482–1309482. 16 indexed citations
10.
Xu, Jia, et al.. (2023). Heterogeneous and clustering-enhanced personalized preference transfer for cross-domain recommendation. Information Fusion. 99. 101892–101892. 10 indexed citations
11.
Lv, Pin, et al.. (2023). Digital Management Strategy of Natural Resource Archives Under Smart City Space-Time Big Data Platform. International Journal of Data Warehousing and Mining. 19(4). 1–14. 2 indexed citations
12.
Chen, Zhang‐Peng, Wen Fang, Zhengge Wang, et al.. (2023). Lipid-accumulated reactive astrocytes promote disease progression in epilepsy. Nature Neuroscience. 26(4). 542–554. 96 indexed citations breakdown →
13.
14.
Li, Yuemin, Hao Xi, Ning Chen, et al.. (2022). Benzo(a)pyrene and cardiovascular diseases: An overview of pre-clinical studies focused on the underlying molecular mechanism. Frontiers in Nutrition. 9. 978475–978475. 25 indexed citations
15.
16.
Chen, Chun‐Chi, Huiying Luo, Xu Han, et al.. (2014). Structural perspectives of an engineered β-1,4-xylanase with enhanced thermostability. Journal of Biotechnology. 189. 175–182. 29 indexed citations
17.
Lv, Pin. (2012). Characteristics and Influence Factors Analysis of Beef Consumption for Urban and Rural Residents in China. 2 indexed citations
18.
Lv, Pin. (2011). Research on route optimization and algorithm of hazardous materials distribution based on improved VRP model. Journal of Safety Science and Technology.
19.
Lv, Pin, et al.. (2008). Isolation and identification of canine distemper virus from fox.. Xi'nan nongye xuebao. 21(1). 204–207. 1 indexed citations
20.
Lv, Pin. (2005). Characteristic and recognition of ultrasonic TOFD signal and image for planar defect. Transactions of the China Welding Institution.

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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