Xuezhi Wen

1.1k total citations · 1 hit paper
24 papers, 839 citations indexed

About

Xuezhi Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Xuezhi Wen has authored 24 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Xuezhi Wen's work include Video Surveillance and Tracking Methods (10 papers), Face and Expression Recognition (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Xuezhi Wen is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Face and Expression Recognition (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Xuezhi Wen collaborates with scholars based in China, United States and United Kingdom. Xuezhi Wen's co-authors include Wei Fang, Ling Shao, Yu Xue, Xue Yu, Huai Yuan, Wei Liu, Xu Jiang, Hong Zhao, Wei Liu and Yuhui Zheng and has published in prestigious journals such as Information Sciences, IEEE Transactions on Circuits and Systems for Video Technology and The Scientific World JOURNAL.

In The Last Decade

Xuezhi Wen

24 papers receiving 799 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.

A rapid learning algorithm for vehicle classification

2014 426 citations Xuezhi Wen, Ling Shao et al. Information Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuezhi Wen China	11	417	239	134	121	108	24	839
David C. Anastasiu United States	13	471 1.1×	194 0.8×	163 1.2×	54 0.4×	50 0.5×	43	828
Mohammed Yakoob Siyal Singapore	15	657 1.6×	128 0.5×	101 0.8×	79 0.7×	30 0.3×	76	974
Feihu Zhang China	11	403 1.0×	275 1.2×	104 0.8×	66 0.5×	33 0.3×	18	843
Abdelkader Benyettou Algeria	14	165 0.4×	442 1.8×	85 0.6×	87 0.7×	45 0.4×	78	929
Asadollah Shahbahrami Iran	16	466 1.1×	296 1.2×	39 0.3×	155 1.3×	118 1.1×	104	1.0k
Peijun Ma China	16	248 0.6×	231 1.0×	102 0.8×	45 0.4×	101 0.9×	71	990
Chuen‐Horng Lin Taiwan	18	460 1.1×	126 0.5×	35 0.3×	155 1.3×	46 0.4×	67	1.0k
Gul Muhammad Khan Pakistan	16	123 0.3×	326 1.4×	65 0.5×	59 0.5×	143 1.3×	80	848
Masao Sakauchi Japan	17	1.1k 2.6×	255 1.1×	173 1.3×	90 0.7×	91 0.8×	130	1.4k
Tsung-Ying Sun Taiwan	15	302 0.7×	372 1.6×	193 1.4×	41 0.3×	44 0.4×	75	936

Countries citing papers authored by Xuezhi Wen

Since Specialization

Citations

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

Fields of papers citing papers by Xuezhi Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuezhi Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Xuezhi Wen. A scholar is included among the top collaborators of Xuezhi Wen 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 Xuezhi Wen. Xuezhi Wen 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.

Fan, Xu, Qinxin Zhao, Xiaoxiao Liu, et al.. (2025). Advanced persistent threat detection via mining long-term features in provenance graphs. Frontiers of Computer Science. 19(10). 1 indexed citations

2.

Wen, Xuezhi, Meiqi Gao, Nan Wang, et al.. (2024). Fairness based on anomaly score and adaptive weight in network attack detection. Information Sciences. 678. 120972–120972. 1 indexed citations

3.

Xu, Fan, et al.. (2024). Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9214–9222. 21 indexed citations

4.

Gawusu, Sidique, et al.. (2020). A study On : Confidentiality Approach to Prevent Features Disclosure in IoT Situations. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 616–632. 1 indexed citations

5.

Fang, Wei, Victor S. Sheng, & Xuezhi Wen. (2018). MeteCloud: Meteorological Cloud Computing Platform for Mobile Weather Forecasts based on Energy-aware Scheduling. 網際網路技術學刊. 19(3). 959–967. 3 indexed citations

6.

Fang, Wei, et al.. (2017). CSDA: a novel cluster-based secure data aggregation scheme for WSNs. Cluster Computing. 22(S3). 5233–5244. 38 indexed citations

7.

Fang, Wei, Victor S. Sheng, Xuezhi Wen, & Wubin Pan. (2014). Meteorological Data Analysis Using MapReduce. The Scientific World JOURNAL. 2014. 1–10. 15 indexed citations

8.

Wen, Xuezhi, Ling Shao, Yu Xue, & Wei Fang. (2014). A rapid learning algorithm for vehicle classification. Information Sciences. 295. 395–406. 426 indexed citations breakdown →

9.

Wen, Xuezhi, Ling Shao, Wei Fang, & Xue Yu. (2014). Efficient Feature Selection and Classification for Vehicle Detection. IEEE Transactions on Circuits and Systems for Video Technology. 25(3). 508–517. 139 indexed citations

10.

Xue, Yu, et al.. (2014). Self-adaptive learning based discrete differential evolution algorithm for solving CJWTA problem. Journal of Systems Engineering and Electronics. 25(1). 59–68. 13 indexed citations

11.

Ma, Rui, et al.. (2011). Construct Virtual Samples for Improving Kernel PCA. 38. 325–328. 2 indexed citations

12.

Wen, Xuezhi & Yuhui Zheng. (2010). An improved algorithm based on AdaBoost for vehicle recognition. 1. 981–984. 9 indexed citations

13.

Liu, Wei, et al.. (2009). Real-time on-road vehicle and motorcycle detection using a single camera. 1–6. 24 indexed citations

14.

Wen, Xuezhi, Wei Liu, Nan Wang, Huai Yuan, & Hong Zhao. (2007). Improved Wavelet Feature Extraction Methods Based on HSV Space for Vehicle Detection. Machine Vision and Applications. 376–379. 6 indexed citations

15.

Liu, Wei, et al.. (2007). A Study on Hybrid Approaches in Image Recognition System. 5. 1072–1076. 2 indexed citations

16.

Wen, Xuezhi, Huai Yuan, Liu We, & Hong Zhao. (2007). An improved wavelet feature extraction approach for vehicle detection. 1. 1–4. 3 indexed citations

17.

Wen, Xuezhi, et al.. (2007). A Study on Data Parallel Optimization for Real-time Vehicle Recognition Algorithm. 661–665. 2 indexed citations

18.

Liu, Wei, et al.. (2007). Rear Vehicle Detection and Tracking for Lane Change Assist. 252–257. 83 indexed citations

19.

Wen, Xuezhi, et al.. (2007). An algorithm based on SVM ensembles for motorcycle recognition. 1. 1–5. 6 indexed citations

20.

Wen, Xuezhi, Hong Zhao, Nan Wang, & Huai Yuan. (2006). A Rear-Vehicle Detection System for Static Images Based on Monocular Vision. 1–4. 14 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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