Jingjing Ma

2.2k total citations · 1 hit paper
65 papers, 1.8k citations indexed

About

Jingjing Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jingjing Ma has authored 65 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 24 papers in Media Technology and 19 papers in Artificial Intelligence. Recurrent topics in Jingjing Ma's work include Remote-Sensing Image Classification (21 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Image Retrieval and Classification Techniques (12 papers). Jingjing Ma is often cited by papers focused on Remote-Sensing Image Classification (21 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Image Retrieval and Classification Techniques (12 papers). Jingjing Ma collaborates with scholars based in China, Australia and United Kingdom. Jingjing Ma's co-authors include Maoguo Gong, Licheng Jiao, Wenping Ma, Jiao Shi, Liang Yan, Xu Tang, Xiangrong Zhang, Huimin Luo, Chaokun Yan and Fang Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Jingjing Ma

60 papers receiving 1.7k citations

Hit Papers

Fuzzy C-Means Clustering ... 2012 2026 2016 2021 2012 100 200 300 400
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.

  1. Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation
    2012 488 citations Maoguo Gong, Liang Yan et al. IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingjing Ma China 23 788 621 570 209 203 65 1.8k
Zhen Ji China 22 622 0.8× 342 0.6× 406 0.7× 140 0.7× 190 0.9× 130 1.7k
Weixin Xie China 22 694 0.9× 282 0.5× 1.1k 2.0× 123 0.6× 111 0.5× 144 2.2k
Byeungwoo Jeon South Korea 30 2.3k 3.0× 1.0k 1.7× 413 0.7× 240 1.1× 292 1.4× 266 3.5k
Xinzhong Zhu China 23 1.4k 1.8× 434 0.7× 958 1.7× 129 0.6× 65 0.3× 97 2.3k
Rushi Lan China 28 1.7k 2.1× 503 0.8× 606 1.1× 82 0.4× 61 0.3× 167 2.4k
Kun Zhan China 23 1.7k 2.1× 751 1.2× 850 1.5× 132 0.6× 58 0.3× 77 2.4k
Canyi Lu China 21 2.3k 3.0× 659 1.1× 835 1.5× 182 0.9× 67 0.3× 33 3.8k
Miao Zhang China 29 1.5k 1.9× 304 0.5× 474 0.8× 62 0.3× 90 0.4× 160 2.2k
Francesco Camastra Italy 19 779 1.0× 234 0.4× 900 1.6× 63 0.3× 45 0.2× 39 1.8k
Jiulun Fan China 22 882 1.1× 373 0.6× 747 1.3× 46 0.2× 68 0.3× 174 1.8k

Countries citing papers authored by Jingjing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jingjing Ma. A scholar is included among the top collaborators of Jingjing 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 Jingjing Ma. Jingjing 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.
Tang, Xu, et al.. (2025). Softmatch distance: A novel distance for weakly-supervised trend change detection in bi-temporal images. Pattern Recognition. 171. 112169–112169. 1 indexed citations
2.
Gu, Haoran, Handing Wang, & Jingjing Ma. (2024). Test Suites and Performance of Algorithms in Large-Scale Multiobjective Evolutionary Optimization. 1–8. 1 indexed citations
3.
Wang, Ying, Jun Sun, Yufang Li, et al.. (2024). Comprehensive assessment for species authenticity, pesticide residual, and fungal contamination characteristics of Panax herbal tea. LWT. 207. 116688–116688. 2 indexed citations
4.
Tang, Xu, et al.. (2024). Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 11384–11398. 6 indexed citations
5.
6.
Li, Jingzhen, Jingjing Ma, Olatunji Mumini Omisore, et al.. (2023). Noninvasive Blood Glucose Monitoring Using Spatiotemporal ECG and PPG Feature Fusion and Weight-Based Choquet Integral Multimodel Approach. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14491–14505. 25 indexed citations
7.
Tang, Xu, et al.. (2023). Exchange Data Augmentation for Change Detection. 60. 6672–6675.
8.
Tang, Xu, et al.. (2022). Remote Sensing Image Change Detection Based on Deep Dictionary Learning. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 11. 1416–1419. 1 indexed citations
9.
Yan, Chaokun, Bin Wu, Jingjing Ma, et al.. (2020). A Novel Hybrid Filter/Wrapper Feature Selection Approach Based on Improved Fruit Fly Optimization Algorithm and Chi-square Test for High Dimensional Microarray Data. Current Bioinformatics. 16(1). 63–79. 8 indexed citations
10.
Li, Lingling, et al.. (2020). A Multiscale Self-Adaptive Attention Network for Remote Sensing Scene Classification. Remote Sensing. 12(14). 2209–2209. 15 indexed citations
11.
Duan, Yingying, Jingjing Ma, Hao Li, et al.. (2019). Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering. 998–1005.
12.
Tang, Xu, Chao Liu, Xiangrong Zhang, et al.. (2019). Remote Sensing Image Retrieval Based on Semi-Supervised Deep Hashing Learning. 99. 879–882. 3 indexed citations
13.
Liu, Chao, Jingjing Ma, Xu Tang, Xiangrong Zhang, & Licheng Jiao. (2019). Adversarial Hash-Code Learning for Remote Sensing Image Retrieval. 4324–4327. 21 indexed citations
14.
Yan, Chaokun, Jingjing Ma, Huimin Luo, & Jianxin Wang. (2018). A hybrid algorithm based on binary chemical reaction optimization and tabu search for feature selection of high-dimensional biomedical data. Tsinghua Science & Technology. 23(6). 733–743. 22 indexed citations
15.
Li, Hao, et al.. (2015). Change detection in synthetic aperture radar images based on evolutionary multiobjective optimization with ensemble learning. Memetic Computing. 7(4). 275–289. 12 indexed citations
16.
Nie, Zedong, Jingjing Ma, Hong Chen, & Lei Wang. (2013). Statistical characterization of the dynamic human body communication channel at 45MHz. PubMed. 58. 1206–1209. 5 indexed citations
17.
Hou, Biao, et al.. (2013). A Novel Eye Localization Method With Rotation Invariance. IEEE Transactions on Image Processing. 23(1). 226–239. 21 indexed citations
18.
Gong, Maoguo, Liang Yan, Jiao Shi, Wenping Ma, & Jingjing Ma. (2012). Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation. IEEE Transactions on Image Processing. 22(2). 573–584. 488 indexed citations breakdown →
19.
Ma, Jingjing, et al.. (2012). Driving Intentions Identification Based on Continuous Pseudo 2D Hidden Markov Model. 2009. 629–632. 1 indexed citations
20.
Zheng, Zhi, et al.. (2010). Unsupervised evolutionary clustering algorithm for mixed type data. 1–8. 31 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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