Jingfeng Zhang

967 total citations
59 papers, 412 citations indexed

About

Jingfeng Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geophysics. According to data from OpenAlex, Jingfeng Zhang has authored 59 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Geophysics. Recurrent topics in Jingfeng Zhang's work include Seismic Imaging and Inversion Techniques (11 papers), Adversarial Robustness in Machine Learning (6 papers) and Hydraulic Fracturing and Reservoir Analysis (4 papers). Jingfeng Zhang is often cited by papers focused on Seismic Imaging and Inversion Techniques (11 papers), Adversarial Robustness in Machine Learning (6 papers) and Hydraulic Fracturing and Reservoir Analysis (4 papers). Jingfeng Zhang collaborates with scholars based in China, United States and New Zealand. Jingfeng Zhang's co-authors include Arthur B. Weglein, Yin Zhang⋆, Yunqing Hu, Hui Xue, Yuan He, Yi Zhou, Boon Chuan Low, Shuai Yang, Daiwen Yang and Jan Paul Buschdorf and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jingfeng Zhang

50 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingfeng Zhang China	12	105	94	78	52	47	59	412
Shudong Chen China	11	82 0.8×	40 0.4×	100 1.3×	87 1.7×	115 2.4×	72	560
Ambuj Kumar Agarwal India	13	113 1.1×	55 0.6×	91 1.2×	20 0.4×	76 1.6×	102	563
Keisuke Inoue Japan	11	29 0.3×	38 0.4×	25 0.3×	12 0.2×	38 0.8×	56	448
Krzysztof Boryczko Poland	11	59 0.6×	30 0.3×	31 0.4×	7 0.1×	40 0.9×	25	394
Changjiang Zhou China	14	258 2.5×	23 0.2×	271 3.5×	161 3.1×	101 2.1×	34	572
Javier Bernal United States	9	40 0.4×	42 0.4×	32 0.4×	9 0.2×	33 0.7×	16	276
Chengze Li China	15	24 0.2×	292 3.1×	13 0.2×	12 0.2×	43 0.9×	92	728
Xiaolin Liu China	11	69 0.7×	229 2.4×	26 0.3×	17 0.3×	5 0.1×	24	661
Jutao Li China	12	35 0.3×	16 0.2×	142 1.8×	119 2.3×	136 2.9×	34	445

Countries citing papers authored by Jingfeng Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Jingfeng Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingfeng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingfeng Zhang. A scholar is included among the top collaborators of Jingfeng 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 Jingfeng Zhang. Jingfeng Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Yuejie, Jingfeng Zhang, Weiwei Tang, & Bin Li. (2025). A hemicyanine-based dual-modal probe for fluorescence and mass spectrometry imaging of peroxynitrite in biosamples. Free Radical Biology and Medicine. 234. 49–54.

Zhu, Rupeng, et al.. (2025). Comprehensive gradient-free optimization plugin with kernel density estimation-based cyclical learning rate and dynamic bandwidth adaptation. Expert Systems with Applications. 270. 126519–126519. 2 indexed citations

Zhang, Jingfeng, et al.. (2024). GCGACNN: A Graph Neural Network and Random Forest for Predicting Microbe–Drug Associations. Biomolecules. 14(8). 946–946. 2 indexed citations

Zhang, Jingfeng, et al.. (2024). Vegetation extraction from Landsat8 operational land imager remote sensing imagery based on Attention U-Net and vegetation spectral features. Journal of Applied Remote Sensing. 18(3). 1 indexed citations

Yan, Jun, et al.. (2024). Enhance Adversarial Robustness via Geodesic Distance. IEEE Transactions on Artificial Intelligence. 5(8). 4202–4216. 5 indexed citations

Wu, Chenggang, Bowen Tang, Zihan Jiang, et al.. (2024). Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants. 11508–11518.

Zhang, Jingfeng, Haohan Wang, Bo Han, et al.. (2024). BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(6). 4398–4409. 12 indexed citations

Zhang, Hanzhi, et al.. (2024). Promoting carbon neutrality and green growth through cultural industry financing. Humanities and Social Sciences Communications. 11(1). 4 indexed citations

Zhang, Run, et al.. (2024). Design and test of a double compression seeder for pre-sowing and seed furrow of wheat in wide-seedling belts. International journal of agricultural and biological engineering. 17(4). 136–145.

10.

Zhang, Jingfeng, et al.. (2024). Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data. 1142–1147. 3 indexed citations

11.

Wang, Ben, et al.. (2024). Land Classification Research Based on the Improved Deeplabv3+ Model and the AI Earth Remote Sensing Cloud Platform. IEEE Access. 12. 182516–182531. 1 indexed citations

12.

Wu, Dongxian, et al.. (2023). On the Effectiveness of Adversarial Training Against Backdoor Attacks. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14878–14888. 9 indexed citations

13.

Yan, Hanshu, et al.. (2023). Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks. Neural Networks. 169. 756–763. 4 indexed citations

14.

Zhang, Jingfeng, et al.. (2022). Angle steel tower bolt defect detection based on YOLO-V3. SHILAP Revista de lepidopterología. 45. 1013–1013. 1 indexed citations

15.

Hu, Yunqing, et al.. (2021). RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition. 4239–4248. 80 indexed citations

16.

Zhang, Jingfeng, et al.. (2020). Progress in the synthesis of imide-based N-type polymer semiconductor materials. RSC Advances. 10(68). 41764–41779. 16 indexed citations

17.

Zhang, Jingfeng, et al.. (2015). Quality control of surface-consistent deconvolution on land dynamite data. The Leading Edge. 34(4). 430–436. 2 indexed citations

18.

Wang, Zhaoyan, et al.. (2011). Physical and chemical properties of soils under different vegetation restoration models in red soil hilly region.. Acta Pedologica Sinica. 48(4). 715–724. 1 indexed citations

19.

Zhang, Jingfeng. (2010). Sharing rates model of different traffic ways in urban comprehensive passenger hub. Journal of Chang'an University. 1 indexed citations

20.

Zhong, Jiasong, Weidong Xiang, Lijun Liu, et al.. (2010). Biomolecule-assisted Solvothermal Synthesis of Bismuth Sulfide Nanorods. Journal of Material Science and Technology. 26(5). 417–422. 19 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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