Jianghong Ma

1.2k total citations
75 papers, 798 citations indexed

About

Jianghong Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jianghong Ma has authored 75 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 32 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Jianghong Ma's work include Generative Adversarial Networks and Image Synthesis (12 papers), Text and Document Classification Technologies (12 papers) and Image Retrieval and Classification Techniques (11 papers). Jianghong Ma is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (12 papers), Text and Document Classification Technologies (12 papers) and Image Retrieval and Classification Techniques (11 papers). Jianghong Ma collaborates with scholars based in China, Hong Kong and Canada. Jianghong Ma's co-authors include Tommy W. S. Chow, Haijun Zhang, Yee Leung, Dongliang Zhou, Nannan Ji, Dong Li, Yunming Ye, Jiancheng Luo, Xiaofei Xu and Tianjun Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Jianghong Ma

66 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianghong Ma China 18 386 325 109 74 70 75 798
Zixing Song Hong Kong 10 492 1.3× 255 0.8× 111 1.0× 47 0.6× 52 0.7× 15 879
Cheng Tan China 12 325 0.8× 250 0.8× 70 0.6× 52 0.7× 53 0.8× 41 1.0k
Malay K. Pakhira India 7 569 1.5× 264 0.8× 120 1.1× 77 1.0× 151 2.2× 22 915
Shaoning Zeng China 14 329 0.9× 401 1.2× 71 0.7× 123 1.7× 66 0.9× 56 793
Rafael M. O. Cruz Canada 15 840 2.2× 272 0.8× 143 1.3× 74 1.0× 93 1.3× 52 1.2k
Deli Zhao China 18 798 2.1× 708 2.2× 126 1.2× 90 1.2× 94 1.3× 57 1.5k
Xiaoya Li China 13 529 1.4× 205 0.6× 71 0.7× 77 1.0× 70 1.0× 27 953
Minghao Chen China 15 278 0.7× 361 1.1× 49 0.4× 55 0.7× 52 0.7× 73 906
En Fan China 11 271 0.7× 236 0.7× 62 0.6× 87 1.2× 70 1.0× 44 974

Countries citing papers authored by Jianghong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jianghong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianghong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jianghong Ma. A scholar is included among the top collaborators of Jianghong 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 Jianghong Ma. Jianghong 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.
Ma, Jianghong, Jie Yu, Amy Xie, et al.. (2025). Large language model evaluation in autoimmune disease clinical questions comparing ChatGPT 4o, Claude 3.5 Sonnet and Gemini 1.5 pro. Scientific Reports. 15(1). 17635–17635.
2.
Zhang, Haijun, et al.. (2025). Wp-VTON: A wrinkle-preserving virtual try-on network via clothing texture book. Neural Networks. 189. 107546–107546.
3.
Ran, Xiaojuan, et al.. (2024). A hybrid genetic-fuzzy ant colony optimization algorithm for automatic K-means clustering in urban global positioning system. Engineering Applications of Artificial Intelligence. 137. 109237–109237. 44 indexed citations
4.
Feng, Shanshan, et al.. (2024). FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting. 3586–3597. 1 indexed citations
5.
Zhang, Haijun, et al.. (2024). Mannequin2Real: A Two-Stage Generation Framework for Transforming Mannequin Images Into Photorealistic Model Images for Clothing Display. IEEE Transactions on Consumer Electronics. 70(1). 2773–2783. 1 indexed citations
6.
Chow, Tommy W. S., et al.. (2024). FPSR+: Toward Robust, Efficient, and Scalable Collaborative Filtering With Partition-Aware Item Similarity Modeling. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8283–8296.
7.
Ma, Jianghong, et al.. (2023). Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. CityU Scholars. 823–832. 3 indexed citations
8.
Lu, Xiaolei, et al.. (2023). Asymmetric feature interaction for interpreting model predictions. 2 indexed citations
9.
Zhang, Haijun, et al.. (2023). IASA: An IoU-aware tracker with adaptive sample assignment. Neural Networks. 161. 267–280. 7 indexed citations
10.
Ma, Jianghong, et al.. (2023). SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection. Neural Networks. 170. 535–547. 12 indexed citations
11.
Chow, Tommy W. S., et al.. (2022). ExpGCN: Review-aware Graph Convolution Network for explainable recommendation. Neural Networks. 157. 202–215. 28 indexed citations
12.
Zhao, Mingbo, et al.. (2022). Joint clothes image detection and search via anchor free framework. Neural Networks. 155. 84–94. 7 indexed citations
13.
Zhang, Haijun, et al.. (2022). Toward Intelligent Fashion Design: A Texture and Shape Disentangled Generative Adversarial Network. ACM Transactions on Multimedia Computing Communications and Applications. 19(3). 1–23. 20 indexed citations
14.
Ma, Jianghong, et al.. (2021). KfreqGAN: Unsupervised detection of sequence anomaly with adversarial learning and frequency domain information. Knowledge-Based Systems. 236. 107757–107757. 16 indexed citations
15.
Ma, Jianghong, Tommy W. S. Chow, & Haijun Zhang. (2020). Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning. IEEE Transactions on Cybernetics. 52(1). 101–115. 13 indexed citations
16.
Wu, Tianjun, Jiancheng Luo, Xiaocheng Zhou, Jianghong Ma, & Xueli Song. (2018). Automatic newly increased built-up area extraction from high-resolution remote sensing images using line-density-based visual saliency and PanTex. Journal of Applied Remote Sensing. 12(1). 1–1. 3 indexed citations
17.
Ma, Jianghong, Jicong Fan, & Wei Wang. (2017). Multi-label classification for images with missing labels. 35. 1050–1055. 2 indexed citations
18.
Ge, Yong, Yongze Song, Tianjun Wu, et al.. (2017). A WTLS-based rational function model for orthorectification of remote-sensing imagery. International Journal of Remote Sensing. 38(23). 7281–7301. 1 indexed citations
19.
Ma, Jianghong. (2010). Comparison of two data fusion methods for information retrieval. Journal of Computer Applications. 1 indexed citations
20.
Ge, Yong, Yee Leung, Jianghong Ma, & Jinfeng Wang. (2006). Modelling for registration of remotely sensed imagery when reference control points contain error. Science in China Series D Earth Sciences. 49(7). 739–746. 4 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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