Ming Xiang

669 total citations
24 papers, 249 citations indexed

About

Ming Xiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ming Xiang has authored 24 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Computer Networks and Communications. Recurrent topics in Ming Xiang's work include Distributed Sensor Networks and Detection Algorithms (9 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Face and Expression Recognition (7 papers). Ming Xiang is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (9 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers) and Face and Expression Recognition (7 papers). Ming Xiang collaborates with scholars based in China. Ming Xiang's co-authors include Yupei Zhang, Bo Yang, Fang Wen, Chongzhao Han, Fangyun Wei, Ting Zhang, Chen Dong, Nanning Zheng, Dong Chen and Jing Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Neurocomputing.

In The Last Decade

Ming Xiang

21 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Xiang China 9 144 93 43 42 36 24 249
Dong Yin China 8 78 0.5× 82 0.9× 35 0.8× 43 1.0× 25 0.7× 29 224
Donghui Wang China 6 120 0.8× 146 1.6× 38 0.9× 35 0.8× 33 0.9× 21 282
Xianzhong Long China 9 173 1.2× 141 1.5× 11 0.3× 28 0.7× 30 0.8× 33 314
Huidong Liu China 9 176 1.2× 164 1.8× 15 0.3× 26 0.6× 24 0.7× 21 312
Chao Lan United States 11 148 1.0× 151 1.6× 21 0.5× 24 0.6× 44 1.2× 43 325
Limei Zhang China 7 226 1.6× 118 1.3× 9 0.2× 63 1.5× 75 2.1× 17 366
Wangmeng Zuo China 9 212 1.5× 45 0.5× 11 0.3× 43 1.0× 48 1.3× 18 279
Yifan Fu Australia 7 92 0.6× 222 2.4× 15 0.3× 47 1.1× 31 0.9× 10 338
Pavan Kumar Mallapragada United States 5 215 1.5× 250 2.7× 15 0.3× 13 0.3× 32 0.9× 7 381
Changbo Zhu United States 8 102 0.7× 64 0.7× 17 0.4× 118 2.8× 58 1.6× 14 291

Countries citing papers authored by Ming Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Xiang. A scholar is included among the top collaborators of Ming Xiang 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 Ming Xiang. Ming Xiang 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.
Mou, Jianhui, Jian Wang, Yangwei Wang, Ming Xiang, & Lihua Zhang. (2024). Pattern synthesis of linear antenna-array for high gain and low sidelobe level based on sand cat swarm optimization algorithm. The Journal of Supercomputing. 81(1). 2 indexed citations
2.
Xiang, Ming, Fangyun Wei, Ting Zhang, et al.. (2020). Group Sampling for Scale Invariant Face Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 985–1001. 13 indexed citations
3.
Xiang, Ming, Fangyun Wei, Ting Zhang, Chen Dong, & Fang Wen. (2019). Group Sampling for Scale Invariant Face Detection. 3441–3451. 23 indexed citations
4.
Zhang, Yupei, Ming Xiang, & Bo Yang. (2017). Hierarchical sparse coding from a Bayesian perspective. Neurocomputing. 272. 279–293. 6 indexed citations
5.
Zhang, Yupei, Ming Xiang, & Bo Yang. (2017). Low-rank preserving embedding. Pattern Recognition. 70. 112–125. 56 indexed citations
6.
Yang, Bo, Ming Xiang, & Yupei Zhang. (2015). Learning discriminant isomap for dimensionality reduction. 1–8. 2 indexed citations
7.
Zhang, Yupei, Ming Xiang, & Bo Yang. (2015). Linear dimensionality reduction based on Hybrid structure preserving projections. Neurocomputing. 173. 518–529. 21 indexed citations
8.
Zhang, Tianjiao, Jing Li, Zexi Li, & Ming Xiang. (2013). An Algorithm Research of Ground-Space Integrated Scheduling TT&C Resources of Orbit Determination of GNSS Constellation. 27. 69–73. 3 indexed citations
9.
Xiang, Ming, et al.. (2012). Fingerprint Image Enhancement Algorithm Based on Two Dimension EMD and Gabor Filter. Procedia Engineering. 29. 1840–1844. 8 indexed citations
10.
Xiang, Ming, et al.. (2012). Research on Several Recommendation Algorithms. Procedia Engineering. 29. 2427–2431. 3 indexed citations
11.
Xiang, Ming. (2009). Fingerprint Image Enhancement and Minutiae Extraction. Computer Technology and Development. 14 indexed citations
13.
Xiang, Ming & Liqi Wang. (2006). Distributed signal detection with serial structures. aes 28. 1–6. 1 indexed citations
14.
15.
Xiang, Ming & Chongzhao Han. (2003). On optimum distributed detection and robustness of system performance. 1. 156–163. 3 indexed citations
16.
Xiang, Ming & Chongzhao Han. (2003). Optimization of distributed detection networks with tree structures. 1. 164–169. 2 indexed citations
17.
Xiang, Ming. (2002). Optimum Detection Fusion Algorithm for Distributed and Quantized Neyman-Pearson Detection Systems. Tance yu kongzhi xuebao. 1 indexed citations
18.
Xiang, Ming. (2002). Detection Fusion Algorithm for Distributed Neyman-Pearson Detection Systems with Serial Structures. Tance yu kongzhi xuebao.
19.
Xiang, Ming, et al.. (2001). New results on the performance of distributed Bayesian detection systems. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 31(1). 73–78. 3 indexed citations
20.
Xiang, Ming, et al.. (2001). On the performance of distributed Neyman-Pearson detection systems. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 31(1). 78–83. 22 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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