Jia Zhang

3.1k total citations
87 papers, 2.1k citations indexed

About

Jia Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jia Zhang has authored 87 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 26 papers in Information Systems and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jia Zhang's work include Text and Document Classification Technologies (19 papers), Service-Oriented Architecture and Web Services (16 papers) and Image Retrieval and Classification Techniques (13 papers). Jia Zhang is often cited by papers focused on Text and Document Classification Technologies (19 papers), Service-Oriented Architecture and Web Services (16 papers) and Image Retrieval and Classification Techniques (13 papers). Jia Zhang collaborates with scholars based in China, United States and Hong Kong. Jia Zhang's co-authors include Shaozi Li, Candong Li, Zhiming Luo, Changèn Zhou, Yaojin Lin, Jinyi Long, Min Jiang, Jinghua Liu, Hanrui Wu and Kay Chen Tan and has published in prestigious journals such as Nature Communications, Molecular Cell and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jia Zhang

78 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Zhang China 27 1.1k 659 512 362 182 87 2.1k
Fuyuan Cao China 30 987 0.9× 439 0.7× 281 0.5× 318 0.9× 212 1.2× 97 2.3k
Can Wang China 31 1.6k 1.4× 877 1.3× 1.0k 2.0× 262 0.7× 99 0.5× 228 3.7k
Martin Scholz Germany 14 990 0.9× 351 0.5× 963 1.9× 807 2.2× 99 0.5× 34 3.0k
Lihong Li United States 30 1.3k 1.2× 498 0.8× 195 0.4× 161 0.4× 147 0.8× 122 3.0k
Vı́ctor Robles Spain 15 691 0.6× 297 0.5× 183 0.4× 579 1.6× 173 1.0× 41 1.6k
Donald Adjeroh United States 28 803 0.7× 680 1.0× 313 0.6× 664 1.8× 82 0.5× 155 2.8k
Yonghong Chen China 21 759 0.7× 244 0.4× 375 0.7× 164 0.5× 162 0.9× 98 1.8k
Lifei Chen China 25 615 0.5× 238 0.4× 296 0.6× 743 2.1× 82 0.5× 135 2.3k
Xuerui Wang China 34 1.5k 1.3× 254 0.4× 651 1.3× 608 1.7× 46 0.3× 134 4.7k
Christian Borgelt Germany 25 1.1k 1.0× 392 0.6× 859 1.7× 244 0.7× 552 3.0× 101 2.4k

Countries citing papers authored by Jia Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jia Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Zhang. A scholar is included among the top collaborators of Jia Zhang 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 Jia Zhang. Jia Zhang 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.
Chen, Zhuangzhuang, Jun Li, Jia Zhang, et al.. (2025). Fat distribution, inflammatory mechanisms, and cardiovascular disease risk: mediation analysis based on the Framingham risk score. BMC Cardiovascular Disorders. 25(1). 664–664.
2.
Zhang, Jia, Siwei Liu, Hanrui Wu, Zhe Zhang, & Jinyi Long. (2025). EEG Feature Selection in Emotion Recognition Using a Fuzzy Information-Theoretic Based Optimization Approach. IEEE Transactions on Fuzzy Systems. 33(8). 2675–2688.
3.
Liu, Siwei, Jia Zhang, Hanrui Wu, et al.. (2025). Towards spatio-temporal representation learning for EEG classification in motor imagery-based BCI system. Knowledge-Based Systems. 324. 113801–113801.
4.
Zhang, Jia, et al.. (2024). Toward Cross-Brain-Computer Interface: A Prototype-Supervised Adversarial Transfer Learning Approach With Multiple Sources. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 3 indexed citations
5.
Wu, Hanrui, et al.. (2024). Online Transfer Learning With Pseudo Label for Gait Phase Prediction. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 1 indexed citations
6.
Du, Guodong, et al.. (2024). Semi-supervised imbalanced multi-label classification with label propagation. Pattern Recognition. 150. 110358–110358. 23 indexed citations
7.
Zhang, Jia, et al.. (2024). Consistent and specific multi-view multi-label learning with correlation information. Information Sciences. 687. 121395–121395. 1 indexed citations
8.
Wu, Hanrui, et al.. (2024). Transferable graph auto-encoders for cross-network node classification. Pattern Recognition. 150. 110334–110334. 8 indexed citations
9.
Wu, Hanrui, et al.. (2023). Collaborative contrastive learning for hypergraph node classification. Pattern Recognition. 146. 109995–109995. 21 indexed citations
10.
Wu, Hanrui, et al.. (2023). Transferable multi-modal fusion in knee angles and gait phases for their continuous prediction. Journal of Neural Engineering. 20(3). 36019–36019. 6 indexed citations
11.
Wu, Hanrui, et al.. (2023). Simplicial Complex Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(1). 561–575. 23 indexed citations
12.
Wu, Hanrui, et al.. (2023). Feature Matching Machine for Cold-Start Recommendation. IEEE Transactions on Services Computing. 17(1). 98–112. 2 indexed citations
13.
Jiang, Bin, Jia Zhang, Guohui Zhao, et al.. (2022). Filamentous GLS1 promotes ROS-induced apoptosis upon glutamine deprivation via insufficient asparagine synthesis. Molecular Cell. 82(10). 1821–1835.e6. 44 indexed citations
14.
Liu, Dezheng, Jia Zhang, Hanrui Wu, Siwei Liu, & Jinyi Long. (2022). Multi-Source Transfer Learning for EEG Classification Based on Domain Adversarial Neural Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 218–228. 27 indexed citations
15.
Zhang, Jia, Yidong Lin, Min Jiang, et al.. (2022). Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization. IEEE Transactions on Neural Networks and Learning Systems. 35(4). 5721–5734. 29 indexed citations
16.
Du, Guodong, Jia Zhang, Min Jiang, et al.. (2021). Graph-Based Class-Imbalance Learning With Label Enhancement. IEEE Transactions on Neural Networks and Learning Systems. 34(9). 6081–6095. 50 indexed citations
17.
Zhang, Jia, Guodong Du, Shaozi Li, et al.. (2020). A Microcosmic Syndrome Differentiation Model for Metabolic Syndrome with Multilabel Learning. Evidence-based Complementary and Alternative Medicine. 2020(1). 9081641–9081641. 11 indexed citations
18.
Huang, Zhi-An, et al.. (2020). Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning. IEEE Transactions on Neural Networks and Learning Systems. 32(9). 3971–3984. 21 indexed citations
19.
Zhang, Jia. (2014). Heating Load Prediction for Heating Systems Based on Support Vector Regression with Cross Validation. Journal of North University of China. 2 indexed citations
20.
Zhang, Jia. (2009). Support Degree and Adaptive Weighted Spatial-temporal Fusion Algorithm of Multi-sensor. Development & Innovation of Machinery & Electrical Products. 2 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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