Ping Ma

659 total citations
28 papers, 442 citations indexed

About

Ping Ma is a scholar working on Artificial Intelligence, Media Technology and Atmospheric Science. According to data from OpenAlex, Ping Ma has authored 28 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Media Technology and 5 papers in Atmospheric Science. Recurrent topics in Ping Ma's work include Remote-Sensing Image Classification (11 papers), Advanced Image Fusion Techniques (6 papers) and Remote Sensing and Land Use (5 papers). Ping Ma is often cited by papers focused on Remote-Sensing Image Classification (11 papers), Advanced Image Fusion Techniques (6 papers) and Remote Sensing and Land Use (5 papers). Ping Ma collaborates with scholars based in China, United Kingdom and Australia. Ping Ma's co-authors include Jinchang Ren, Genyun Sun, Xiuping Jia, Aizhu Zhang, Yijun Yan, Hongli Zhang, Cong Wang, Xiaojun Zhou, Yingchao Dong and Jaime Zabalza and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Energy and Remote Sensing.

In The Last Decade

Ping Ma

26 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Ma China 12 146 86 81 76 53 28 442
Junhao Huang China 10 64 0.4× 101 1.2× 34 0.4× 105 1.4× 19 0.4× 27 341
Junwei Duan China 14 79 0.5× 136 1.6× 32 0.4× 150 2.0× 21 0.4× 52 480
Yongdong Zhu China 13 124 0.8× 124 1.4× 126 1.6× 89 1.2× 51 1.0× 48 591
Hao Dong China 13 92 0.6× 211 2.5× 43 0.5× 140 1.8× 35 0.7× 27 585
Anil Kumar Sao India 14 134 0.9× 233 2.7× 88 1.1× 288 3.8× 27 0.5× 72 617
P. Sathyanarayana Canada 5 57 0.4× 159 1.8× 41 0.5× 180 2.4× 27 0.5× 11 565
Ge Zhang China 14 241 1.7× 49 0.6× 36 0.4× 175 2.3× 86 1.6× 45 547
Siyuan Lu China 8 30 0.2× 237 2.8× 257 3.2× 103 1.4× 25 0.5× 27 532

Countries citing papers authored by Ping Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ping Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Ma. A scholar is included among the top collaborators of Ping Ma 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 Ping Ma. Ping Ma 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.
Zhang, Huan, Wei Li, Ping Ma, & Ming Yang. (2024). A credibility integration evaluation approach of complex simulation systems based on type-2 fuzzy set and perceptual computing. Applied Soft Computing. 164. 111994–111994. 1 indexed citations
2.
Ma, Ping, et al.. (2024). Hyperspectral imagery quality assessment and band reconstruction using the prophet model. CAAI Transactions on Intelligence Technology. 10(1). 47–61. 2 indexed citations
3.
Ji, Hong, et al.. (2024). Prompting-to-Distill Semantic Knowledge for Few-Shot Learning. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
4.
Ren, Jinchang, et al.. (2024). ABBD: Accumulated Band-Wise Binary Distancing for Unsupervised Parameter-Free Hyperspectral Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 9880–9893. 6 indexed citations
5.
Ren, Jinchang, et al.. (2024). SSA-LHCD: A Singular Spectrum Analysis-Driven Lightweight Network with 2-D Self-Attention for Hyperspectral Change Detection. Remote Sensing. 16(13). 2353–2353. 3 indexed citations
6.
Ma, Ping, et al.. (2024). A robust and efficient cubature Kalman filter based on the variational Bayesian method and its application in target tracking. Measurement Science and Technology. 36(1). 16135–16135.
7.
Ma, Ping, Malcolm Macdonald, Sally Rouse, & Jinchang Ren. (2023). Automatic Geolocation and Measuring of Offshore Energy Infrastructure With Multimodal Satellite Data. IEEE Journal of Oceanic Engineering. 49(1). 66–79. 6 indexed citations
8.
Ma, Ping, et al.. (2023). Soft reordering one-dimensional convolutional neural network for credit scoring. Knowledge-Based Systems. 266. 110414–110414. 19 indexed citations
9.
Dong, Yingchao, Hongli Zhang, Ping Ma, Cong Wang, & Xiaojun Zhou. (2023). A hybrid robust-interval optimization approach for integrated energy systems planning under uncertainties. Energy. 274. 127267–127267. 82 indexed citations
10.
Ma, Ping, Jinchang Ren, Genyun Sun, et al.. (2023). Multiscale Superpixelwise Prophet Model for Noise-Robust Feature Extraction in Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 44 indexed citations
11.
12.
Ma, Ping, Jinchang Ren, Huimin Zhao, et al.. (2020). Multiscale 2-D Singular Spectrum Analysis and Principal Component Analysis for Spatial–Spectral Noise-Robust Feature Extraction and Classification of Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 1233–1245. 14 indexed citations
13.
Ren, Jinchang, Yijun Yan, Huimin Zhao, et al.. (2020). A Novel Intelligent Computational Approach to Model Epidemiological Trends and Assess the Impact of Non-Pharmacological Interventions for COVID-19. IEEE Journal of Biomedical and Health Informatics. 24(12). 3551–3563. 16 indexed citations
14.
Xing, Xin, Meimei Liu, Ping Ma, & Wenxuan Zhong. (2020). Minimax Nonparametric Parallelism Test. Journal of Machine Learning Research. 21(94). 1–47. 1 indexed citations
15.
Bi, Jianping, et al.. (2019). Protective effect of vildagliptin on TNF‐α‐induced chondrocyte senescence. IUBMB Life. 71(7). 978–985. 28 indexed citations
16.
Sun, Genyun, et al.. (2018). Multi-feature Combined for Building Shadow detection in GF-2 Images. 1–4. 6 indexed citations
17.
Zhang, Aizhu, et al.. (2018). Hyperspectral band selection using crossover‐based gravitational search algorithm. IET Image Processing. 13(2). 280–286. 20 indexed citations
18.
Zhang, Aizhu, et al.. (2018). Clustering of Remote Sensing Imagery Using a Social Recognition-Based Multi-objective Gravitational Search Algorithm. Cognitive Computation. 11(6). 789–798. 14 indexed citations
19.
Mao, Xiao‐Yuan, Changwei Ji, Chunyan Sun, et al.. (2011). Topiramate attenuates cerebral ischemia/reperfusion injury in gerbils via activating GABAergic signaling and inhibiting astrogliosis. Neurochemistry International. 60(1). 39–46. 28 indexed citations
20.
Mao, Xiao‐Yuan, Ping Ma, Danfeng Cao, et al.. (2011). Altered expression of GABAA receptors (α4, γ2 subunit), potassium chloride cotransporter 2 and astrogliosis in tremor rat hippocampus. Brain Research Bulletin. 86(5-6). 373–379. 11 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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