Faqiang Wang

720 total citations · 1 hit paper
9 papers, 491 citations indexed

About

Faqiang Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Faqiang Wang has authored 9 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Media Technology and 2 papers in Biomedical Engineering. Recurrent topics in Faqiang Wang's work include Face and Expression Recognition (6 papers), Face recognition and analysis (4 papers) and Video Surveillance and Tracking Methods (2 papers). Faqiang Wang is often cited by papers focused on Face and Expression Recognition (6 papers), Face recognition and analysis (4 papers) and Video Surveillance and Tracking Methods (2 papers). Faqiang Wang collaborates with scholars based in China, Hong Kong and United States. Faqiang Wang's co-authors include Wangmeng Zuo, Lei Zhang, David Zhang, Liang Lin, Deyu Meng, Bin Ding, Zhaoling Li, Jianyong Yu, Yiming Liu and Hongzhi Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, Nano Energy and Expert Systems with Applications.

In The Last Decade

Faqiang Wang

9 papers receiving 473 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.

Smart Textiles for Personalized Sports and Healthcare

2025 21 citations Faqiang Wang, Jianyong Yu et al. Nano-Micro Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Faqiang Wang China	7	382	188	65	30	24	9	491
Zekun Tong China	8	301 0.8×	145 0.8×	97 1.5×	15 0.5×	9 0.4×	17	400
Masato Kawade Japan	8	367 1.0×	27 0.1×	98 1.5×	45 1.5×	32 1.3×	21	461
Yanping Li China	11	104 0.3×	47 0.3×	60 0.9×	52 1.7×	41 1.7×	58	370
Matti Niskanen Finland	8	185 0.5×	62 0.3×	40 0.6×	7 0.2×	40 1.7×	20	360
Sumin Lee South Korea	9	329 0.9×	106 0.6×	52 0.8×	6 0.2×	14 0.6×	35	464
Xuesen Zhang China	9	171 0.4×	58 0.3×	73 1.1×	11 0.4×	3 0.1×	26	310
Hafiz Zia Ur Rehman Pakistan	9	102 0.3×	89 0.5×	26 0.4×	6 0.2×	23 1.0×	22	307
Zhipeng Fan China	10	151 0.4×	45 0.2×	54 0.8×	22 0.7×	9 0.4×	30	308

Countries citing papers authored by Faqiang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Faqiang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faqiang Wang

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

All Works

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9 of 9 papers shown

1.

Wang, Faqiang, Jianyong Yu, Gang Yang, et al.. (2025). Smart Textiles for Personalized Sports and Healthcare. Nano-Micro Letters. 17(1). 232–232. 21 indexed citations breakdown →

2.

Wang, Faqiang, Yiming Liu, Jianyong Yu, Zhaoling Li, & Bin Ding. (2024). Recent progress on general wearable electrical heating textiles enabled by functional fibers. Nano Energy. 124. 109497–109497. 46 indexed citations

3.

Zhang, Hongzhi, et al.. (2018). Metric Learning with Dynamically Generated Pairwise Constraints for Ear Recognition. Information. 9(9). 215–215. 12 indexed citations

4.

Zuo, Wangmeng, Faqiang Wang, David Zhang, et al.. (2017). Distance Metric Learning via Iterated Support Vector Machines. IEEE Transactions on Image Processing. 26(10). 4937–4950. 32 indexed citations

5.

Wang, Faqiang, Wangmeng Zuo, Liang Lin, David Zhang, & Lei Zhang. (2016). Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1288–1296. 279 indexed citations

6.

Zhang, Hongzhi, Faqiang Wang, Yan Chen, et al.. (2015). Sample pair based sparse representation classification for face recognition. Expert Systems with Applications. 45. 352–358. 16 indexed citations

7.

Wang, Faqiang, Hongzhi Zhang, Kuanquan Wang, & Wangmeng Zuo. (2014). Fast neighbourhood component analysis with spatially smooth regulariser for robust noisy face recognition. IET Biometrics. 3(4). 278–290. 2 indexed citations

8.

Wang, Faqiang, Wangmeng Zuo, Lei Zhang, Deyu Meng, & David Zhang. (2014). A Kernel Classification Framework for Metric Learning. IEEE Transactions on Neural Networks and Learning Systems. 26(9). 1950–1962. 80 indexed citations

9.

Zhang, Hongzhi, Faqiang Wang, Yan Chen, et al.. (2014). Combination of linear regression classification and collaborative representation classification. Neural Computing and Applications. 25(3-4). 833–838. 3 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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