Pin Wang

3.5k total citations · 1 hit paper
170 papers, 2.3k citations indexed

About

Pin Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Pin Wang has authored 170 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 20 papers in Biomedical Engineering. Recurrent topics in Pin Wang's work include AI in cancer detection (13 papers), Voice and Speech Disorders (12 papers) and Music and Audio Processing (9 papers). Pin Wang is often cited by papers focused on AI in cancer detection (13 papers), Voice and Speech Disorders (12 papers) and Music and Audio Processing (9 papers). Pin Wang collaborates with scholars based in China, United States and Sweden. Pin Wang's co-authors include Peng Wang, En Fan, Yongming Li, Xianling Hu, Mingfeng Jiang, Zhu Xin-jian, Qianqian Liu, Jiaxin Wang, Song Qi and Shanshan Lv and has published in prestigious journals such as Advanced Materials, Nano Letters and ACS Nano.

In The Last Decade

Pin Wang

150 papers receiving 2.2k 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.

Comparative analysis of image classification algorithms based on traditional machine learning and deep learning

2020 510 citations Pin Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pin Wang China	21	809	559	429	267	176	170	2.3k
Daniele Ravì Italy	14	714 0.9×	764 1.4×	407 0.9×	430 1.6×	63 0.4×	38	2.2k
Enmin Song China	28	576 0.7×	943 1.7×	773 1.8×	266 1.0×	44 0.3×	142	2.7k
M. Iqbal Saripan Malaysia	30	712 0.9×	1.2k 2.1×	960 2.2×	381 1.4×	52 0.3×	176	3.2k
Shuqiang Wang China	35	690 0.9×	579 1.0×	431 1.0×	362 1.4×	62 0.4×	221	3.7k
Anselmo Cardoso de Paiva Brazil	30	1.3k 1.6×	852 1.5×	1.8k 4.2×	277 1.0×	101 0.6×	212	3.2k
Sotirios A. Tsaftaris United Kingdom	28	735 0.9×	915 1.6×	633 1.5×	226 0.8×	23 0.1×	138	3.3k
Sabina Tangaro Italy	27	723 0.9×	272 0.5×	855 2.0×	263 1.0×	168 1.0×	145	2.5k
Samir Brahim Belhaouari Qatar	24	881 1.1×	469 0.8×	293 0.7×	227 0.9×	28 0.2×	212	2.2k
Sharon Chen Taiwan	20	274 0.3×	699 1.3×	305 0.7×	244 0.9×	61 0.3×	84	2.3k

Countries citing papers authored by Pin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Pin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pin Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Pin, et al.. (2025). Clinical characteristics analysis of anorectal function changes after endoscopic submucosal dissection for rectal lesions. Gastrointestinal Endoscopy. 103(3). 541–550. 1 indexed citations

2.

Chen, Hong, Yi Zhang, Yongming Li, et al.. (2024). Envelope rotation forest: A novel ensemble learning method for classification. Neurocomputing. 618. 129059–129059. 2 indexed citations

3.

Wang, Dan, et al.. (2024). Stacked fuzzy envelope consistency imbalanced ensemble classification method. Expert Systems with Applications. 265. 126033–126033. 1 indexed citations

4.

Chen, Fengying, et al.. (2024). Magnetic resonance imaging diagnosis of abnormal placental cord insertions. Placenta. 155. 52–59. 3 indexed citations

5.

Wang, Pin, Lingjun Bu, Shiqing Zhou, et al.. (2023). Predictive models for the aqueous phase reactivity of inorganic radicals with organic micropollutants. Chemosphere. 332. 138793–138793. 5 indexed citations

6.

Wang, Pin, Lingjun Bu, Yangtao Wu, et al.. (2023). Unveiling the fates of nitro-transformation products in advanced oxidation process: A DFT-based kinetic model. Chemical Engineering Journal. 473. 145273–145273. 9 indexed citations

7.

Zhou, Chuanyan, et al.. (2023). Neighboring Envelope Embedded Stacked Autoencoder for Deep Learning on Hierarchically Structured Samples. IEEE Transactions on Artificial Intelligence. 5(2). 737–750.

8.

Marrese-Taylor, Edison, Pin Wang, & Yutaka Matsuo. (2023). Towards Better Evaluation for Formality-Controlled English-Japanese Machine Translation. 551–560. 1 indexed citations

9.

Li, Yongming, et al.. (2023). Deep Fuzzy Envelope Sample Generation Mechanism for Imbalanced Ensemble Classification. IEEE Transactions on Fuzzy Systems. 32(3). 1248–1262. 3 indexed citations

10.

Zhang, Xudong, et al.. (2021). “PP-type” self-assembling peptides with superior rheological properties. Nanoscale Advances. 3(21). 6056–6062. 7 indexed citations

11.

Wang, Lirui, Pin Wang, Cheng Zhang, et al.. (2018). [Combining speech sample and feature bilateral selection algorithm for classification of Parkinson's disease].. PubMed Central. 34(6). 942–948. 1 indexed citations

12.

Liu, Wei, Pin Wang, Yuyue Du, MengChu Zhou, & Chun Yan. (2017). Extended Logical Petri Nets-Based Modeling and Analysis of Business Processes. IEEE Access. 5. 16829–16839. 16 indexed citations

13.

Wang, Pin. (2015). Learning Analysis of Learners Based on edX Open Data. Xiandai jiaoyu jishu. 3 indexed citations

14.

Wang, Pin. (2015). Determination of Heavy Metal Content in Bo Angelica dahurica by ICP-MS. Guangzhou Chemical Industry. 1 indexed citations

15.

Wang, Pin. (2014). How to Synthesize 3-resistor Sampling Current for the Small-capacity Converter. 1 indexed citations

16.

Wang, Pin. (2014). Construction and Application of Wechat Mobile Learning Platform. Xiandai jiaoyu jishu. 6 indexed citations

17.

Wang, Pin. (2014). Application of metal-rubber dampers in vibration reduction system of an airborne electro-optical pod. Zhendong yu chongji. 1 indexed citations

18.

Wang, Pin. (2014). Researches of Matching Filtering Demodulation Based on Four Multipled Fiber Grating. Bandaoti guangdian.

19.

Li, Yi, Nuo Li, Yongfei Yang, et al.. (2013). Geological features and geodynamic settings of the Mo deposits in the northern segment of the Dabie Mountains. 29(1). 95–106. 8 indexed citations

20.

Wang, Pin. (2006). Position reverse solution on 6R manipulator with error tolerance property. Journal of Machine Design. 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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