Ziming Zhang

7.4k total citations · 2 hit papers
205 papers, 3.8k citations indexed

About

Ziming Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Ziming Zhang has authored 205 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 27 papers in Molecular Biology. Recurrent topics in Ziming Zhang's work include Advanced Neural Network Applications (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Video Surveillance and Tracking Methods (11 papers). Ziming Zhang is often cited by papers focused on Advanced Neural Network Applications (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Video Surveillance and Tracking Methods (11 papers). Ziming Zhang collaborates with scholars based in China, United States and United Kingdom. Ziming Zhang's co-authors include Philip H. S. Torr, Ming‐Ming Cheng, Wen-Yan Lin, Venkatesh Saligrama, Yun Yue, Yi Zhang, H. Susan Zhou, Feiyun Cui, Song Fu and Maurizio Pellecchia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Advanced Functional Materials and Chemical Communications.

In The Last Decade

Ziming Zhang

178 papers receiving 3.7k citations

Hit Papers

align trajectories

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.

BING: Binarized Normed Gradients for Objectness Estimation at 300fps

2014 720 citations Ziming Zhang et al. profile →
Advancing Biosensors with Machine Learning

2020 511 citations Ziming Zhang et al. profile →

Peers

Ziming Zhang

CVPR

MB

BE

AI

AE

Bai Li China

Yongmin Li United Kingdom

Xiaoming Liu China

Habibollah Haron Malaysia

Hui Zhang China

Dejun Zhang China

Wei Fang China

Siheng Chen China

Kelvin K. L. Wong Australia

Bai Li China

Ziming Zhang

2.2k ×1.7

CVPR

944 ×1.2

MB

444 ×0.8

BE

797 ×1.5

AI

566 ×2.4

AE

Citations per year, relative to Ziming Zhang Ziming Zhang (= 1×) peers Bai Li

Countries citing papers authored by Ziming Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Ziming Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziming Zhang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Gao, Shang, et al.. (2025). Feasibility study of data-free spectroscopic photoacoustic image denoising. 17–17. 2 indexed citations

2.

Li, Yuan, et al.. (2024). Application of High-Frequency Ultrasound to Evaluate Forehead Filling Materials. Aesthetic Plastic Surgery. 48(12). 2239–2245. 1 indexed citations

3.

Zhang, Yiwei, Shuangshuang Zhu, Ziming Zhang, et al.. (2024). Assessment of left ventricular ejection fraction in artificial intelligence based on left ventricular opacification. Digital Health. 10. 599904269–599904269.

4.

Su, Qin, et al.. (2024). Decision-Making for Quality Visibility in Green Supply Chain Based on Blockchain Technology. International Game Theory Review. 28(1). 1 indexed citations

5.

Zhang, Ziming, Shuangxia Luo, Yanhua Wang, et al.. (2023). Transcriptome analysis of two pepper genotypes infected with pepper mild mottle virus. Frontiers in Genetics. 14. 1164730–1164730. 6 indexed citations

6.

Nycz, Christopher J., et al.. (2023). Simultaneous Estimation of Hand Configurations and Finger Joint Angles Using Forearm Ultrasound. IEEE Transactions on Medical Robotics and Bionics. 5(1). 120–132. 16 indexed citations

7.

Zhang, Ziming, et al.. (2023). MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. 5128–5132. 1 indexed citations

8.

Zhao, Yiming, Xinming Huang, & Ziming Zhang. (2021). Deep Lucas-Kanade Homography for Multimodal Image Alignment. 15945–15954. 40 indexed citations

9.

Zhang, Ziming, et al.. (2021). Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening. IEEE Journal of Translational Engineering in Health and Medicine. 9. 1–7. 10 indexed citations

10.

Xu, Shanshan, Xuefeng Xu, Ziming Zhang, et al.. (2021). The role of RNA m6A methylation in the regulation of postnatal hypoxia-induced pulmonary hypertension. Respiratory Research. 22(1). 121–121. 27 indexed citations

11.

Zhang, Ziming, et al.. (2020). RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?. International Conference on Learning Representations. 14 indexed citations

12.

Zhang, Ziming, et al.. (2019). RNNs Evolving in Equilibrium: A Solution to the Vanishing and Exploding Gradients. arXiv (Cornell University). 1 indexed citations

13.

Zhang, Ziming & Matthew Brand. (2017). Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. Neural Information Processing Systems. 30. 1721–1730. 6 indexed citations

14.

Zhang, Ziming, Michael Lang, Scott Pakin, & Song Fu. (2014). Trapped Capacity: Scheduling under a Power Cap to Maximize Machine-Room Throughput. 41–50. 17 indexed citations

15.

Zhang, Ziming & Venkatesh Saligrama. (2014). Person Re-identification via Structured Prediction.. arXiv (Cornell University). 2 indexed citations

16.

Wang, Si, Roberta Noberini, John L. Stebbins, et al.. (2012). Targeted Delivery of Paclitaxel to EphA2-Expressing Cancer Cells. Clinical Cancer Research. 19(1). 128–137. 56 indexed citations

17.

Rega, Michele F., Bainan Wu, Jun Wei, et al.. (2011). SAR by Interligand Nuclear Overhauser Effects (ILOEs) Based Discovery of Acylsulfonamide Compounds Active against Bcl-x _L and Mcl-1. Journal of Medicinal Chemistry. 54(17). 6000–6013. 42 indexed citations

18.

Zhang, Ziming, Lubor Ladicky, Philip H. S. Torr, & Amir Saffari. (2011). Learning Anchor Planes for Classification. Oxford University Research Archive (ORA) (University of Oxford). 24. 1611–1619. 17 indexed citations

19.

Zhang, Ziming. (2009). COOPERATIVE GAME METHOD FOR STRUCTURAL OPTIMIZATION WITH MULTIPLE OBJECTIVES. Engineering Mechanics. 2 indexed citations

20.

Zhang, Ziming. (2004). Adiabatic temperature rise of concrete based on equivalent time. Journal of Hehai University. 5 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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