Pin Wan

1.2k total citations · 1 hit paper
51 papers, 825 citations indexed

About

Pin Wan is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Pin Wan has authored 51 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 15 papers in Signal Processing and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Pin Wan's work include Cognitive Radio Networks and Spectrum Sensing (28 papers), Blind Source Separation Techniques (15 papers) and Distributed Sensor Networks and Detection Algorithms (14 papers). Pin Wan is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (28 papers), Blind Source Separation Techniques (15 papers) and Distributed Sensor Networks and Detection Algorithms (14 papers). Pin Wan collaborates with scholars based in China, Hong Kong and United States. Pin Wan's co-authors include Yonghua Wang, Shunchao Zhang, Yongwei Zhang, Jianguo Wu, Yubing Chen, Ge Yang, Zhen Luo, Qiwei Zhang, Mingfu Tian and Geng Li and has published in prestigious journals such as IEEE Access, Sensors and Applied Catalysis A General.

In The Last Decade

Pin Wan

49 papers receiving 798 citations

Hit Papers

align trajectories

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.

Hypoxia signaling in human health and diseases: implications and prospects for therapeutics

2022 265 citations Zhen Luo, Mingfu Tian et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pin Wan China	17	322	154	154	135	90	51	825
Xu Bao China	21	180 0.6×	215 1.4×	712 4.6×	347 2.6×	176 2.0×	110	1.6k
Shimin Wang China	18	343 1.1×	89 0.6×	75 0.5×	167 1.2×	65 0.7×	101	1.2k
Chia‐Han Lee Taiwan	24	556 1.7×	94 0.6×	852 5.5×	386 2.9×	62 0.7×	107	1.8k
Yubo Yan China	17	326 1.0×	86 0.6×	449 2.9×	427 3.2×	329 3.7×	101	1.2k
Xiaofeng Zou China	14	73 0.2×	57 0.4×	117 0.8×	62 0.5×	40 0.4×	70	910
Hongyu Zhu China	18	228 0.7×	42 0.3×	46 0.3×	310 2.3×	176 2.0×	55	1.1k
Fanrong Li China	11	437 1.4×	198 1.3×	70 0.5×	188 1.4×	73 0.8×	19	787
Liang Qian China	20	341 1.1×	44 0.3×	238 1.5×	188 1.4×	23 0.3×	93	1.0k
Suqi Li China	16	349 1.1×	36 0.2×	101 0.7×	86 0.6×	18 0.2×	50	883

Countries citing papers authored by Pin Wan

Since Specialization

Citations

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

Fields of papers citing papers by Pin Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pin Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Pin Wan. A scholar is included among the top collaborators of Pin Wan 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 Wan. Pin Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Weiling, Pin Wan, Yuchen Liu, et al.. (2024). Current and further outlook on the protective potential of Antrodia camphorata against neurological disorders. Frontiers in Pharmacology. 15. 1372110–1372110. 4 indexed citations

Luo, Zhen, Mingfu Tian, Ge Yang, et al.. (2022). Hypoxia signaling in human health and diseases: implications and prospects for therapeutics. Signal Transduction and Targeted Therapy. 7(1). 218–218. 265 indexed citations breakdown →

Zhuang, Jiawei, et al.. (2021). ResCaps: an improved capsule network and its application in ultrasonic image classification of thyroid papillary carcinoma. Complex & Intelligent Systems. 8(3). 1865–1873. 10 indexed citations

Jiang, Ningyi, et al.. (2020). [The effects and mechanism of baicalin in a mouse acute hypertensive glaucoma model].. PubMed. 56(5). 376–382. 6 indexed citations

Zhang, Shunchao, et al.. (2020). Clustering Algorithm-Based Data Fusion Scheme for Robust Cooperative Spectrum Sensing. IEEE Access. 8. 5777–5786. 25 indexed citations

Wang, Yonghua, et al.. (2020). Joint Channel Allocation and Power Control Based on Long Short-Term Memory Deep Q Network in Cognitive Radio Networks. Complexity. 2020. 1–11. 4 indexed citations

Liang, Ting, et al.. (2019). A similarity algorithm based on hamming distance used to detect malicious users in cooperative spectrum sensing. International Journal of High Performance Computing and Networking. 14(1). 112–112. 2 indexed citations

Wang, Yonghua, et al.. (2019). A spectrum sensing algorithm based on correlation coefficient and K-means. 84–89. 2 indexed citations

Wang, Shikun, Yongwei Zhang, Pin Wan, Yonghua Wang, & Shunchao Zhang. (2019). A cooperative spectrum sensing method based on signal decomposition and K-medoids algorithm. International Journal of Sensor Networks. 29(3). 171–171. 3 indexed citations

10.

Wang, Yonghua, Shunchao Zhang, Yongwei Zhang, et al.. (2019). A Cooperative Spectrum Sensing Method Based on Empirical Mode Decomposition and Information Geometry in Complex Electromagnetic Environment. Complexity. 2019(1). 17 indexed citations

11.

Wang, Yonghua, et al.. (2018). A Cooperative Spectrum Sensing Method Based on a Feature and Clustering Algorithm. 1029–1033. 12 indexed citations

12.

Ke, Wei, et al.. (2018). A Method of Ultrasonic Image Recognition for Thyroid Papillary Carcinoma Based on Deep Convolution Neural Network. NeuroQuantology. 16(5). 20 indexed citations

13.

Wang, Yonghua, Pin Wan, Qin Deng, & Yuli Fu. (2015). Spectrum Sensing Based on Monostable Stochastic Resonance in Cognitive Radio Networks. TELKOMNIKA (Telecommunication Computing Electronics and Control). 13(2). 487–487.

14.

Li, Qing, Pin Wan, Yuwei He, et al.. (2014). Enantioselective Hydrogenation of the Double Bond of Exocyclic α,β‐Unsaturated Carbonyl Compounds Catalyzed by Iridium/H₈‐BINOL‐Derived Phosphine‐Oxazoline Complexes. Asian Journal of Organic Chemistry. 3(7). 774–783. 22 indexed citations

15.

Wang, Yonghua, et al.. (2013). An Improved Optimal Linear Weighted Cooperative Spectrum Sensing Algorithm for Cognitive Radio Sensor Networks. International Journal of Distributed Sensor Networks. 9(12). 951205–951205. 4 indexed citations

16.

Wan, Pin. (2012). Risk Degree Analysis of Ship Collision Risk in Channel Based on Ordered Probit Model. Zhongguo anquan kexue xuebao. 3 indexed citations

17.

Wan, Pin. (2011). RFID networks planning based on tabu search algorithms. Jisuanji yingyong yanjiu.

18.

Wan, Pin, Yiju Zhan, Xuecong Li, & Yonghua Wang. (2011). Numerical research of signal-to-noise ratio gain on a monostable stochastic resonance. Acta Physica Sinica. 60(4). 40502–40502. 16 indexed citations

19.

Tan, Hong‐Zhou, et al.. (2007). A blind approach to nonlinear system identification. 2007. 209–212. 3 indexed citations

20.

Wan, Pin, et al.. (1976). DISCUSSION. TECHNICAL NOTE. POINT RAINFALL CHARACTERISTICS OF SAUDI ARABIA.. Proceedings of the Institution of Civil Engineers. 61(3). 625–628. 1 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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