Zeren Gao

3.3k total citations · 1 hit paper
48 papers, 1.9k citations indexed

About

Zeren Gao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Mechanical Engineering. According to data from OpenAlex, Zeren Gao has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 8 papers in Mechanical Engineering. Recurrent topics in Zeren Gao's work include Optical measurement and interference techniques (27 papers), Advanced Vision and Imaging (14 papers) and Image Processing Techniques and Applications (14 papers). Zeren Gao is often cited by papers focused on Optical measurement and interference techniques (27 papers), Advanced Vision and Imaging (14 papers) and Image Processing Techniques and Applications (14 papers). Zeren Gao collaborates with scholars based in China, United Kingdom and United States. Zeren Gao's co-authors include Qingchuan Zhang, Yong Su, Xiaohai Xu, David L. Garbers, Shangquan Wu, Éric Vivier, Cameron S. Brandt, Betty Haldeman, Steven D. Levin and Jacob J. Kennedy and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Power Sources.

In The Last Decade

Zeren Gao

43 papers receiving 1.8k citations

Hit Papers

The B7 family member B7-H6 is a tumor cell ligand for the... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeren Gao China 20 597 519 369 349 267 48 1.9k
Chunyang Xiong China 33 335 0.6× 199 0.4× 446 1.2× 193 0.6× 179 0.7× 104 2.8k
Yuichi Taguchi United States 26 1.3k 2.1× 236 0.5× 25 0.1× 309 0.9× 300 1.1× 90 2.6k
Christian Franck United States 28 256 0.4× 48 0.1× 251 0.7× 103 0.3× 76 0.3× 91 2.5k
Xiangning Wang China 14 150 0.3× 112 0.2× 231 0.6× 448 1.3× 21 0.1× 58 1.4k
Mark Hansen United Kingdom 28 295 0.5× 70 0.1× 1.1k 2.9× 705 2.0× 22 0.1× 72 3.5k
Jae‐Ho Han South Korea 23 155 0.3× 65 0.1× 154 0.4× 266 0.8× 63 0.2× 141 1.9k
Weitian Zhang China 17 159 0.3× 69 0.1× 229 0.6× 77 0.2× 20 0.1× 65 1.0k
Chwee Ming Lim Singapore 28 148 0.2× 249 0.5× 186 0.5× 545 1.6× 8 0.0× 107 2.1k
Toshiyuki Amano Japan 20 292 0.5× 161 0.3× 847 2.3× 452 1.3× 110 0.4× 138 2.4k
Philip Kollmannsberger Germany 30 190 0.3× 59 0.1× 660 1.8× 252 0.7× 25 0.1× 58 3.3k

Countries citing papers authored by Zeren Gao

Since Specialization
Citations

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

Fields of papers citing papers by Zeren Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeren Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Zeren Gao. A scholar is included among the top collaborators of Zeren Gao 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 Zeren Gao. Zeren Gao 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
2.
Chen, Zihong, Yuguang Fu, Shangquan Wu, & Zeren Gao. (2025). Bio-inspired dual-scale Turing patterns for 3D digital image correlation. Optics and Lasers in Engineering. 195. 109245–109245.
3.
Gao, Zeren, et al.. (2024). High precision full-field vibration measurement by LDV-induced stroboscopic fringe projection. Optics and Lasers in Engineering. 183. 108481–108481. 1 indexed citations
4.
Wei, Yuchen, et al.. (2024). Vibration monitoring of rotating shafts using DIC and compressed sensing. Optics & Laser Technology. 182. 112189–112189. 1 indexed citations
5.
Yan, Jie, et al.. (2024). Pt/CeO2 Cocatalyst and porogen enhance performance of high-temperature proton exchange membrane fuel cells. Journal of Power Sources. 629. 235996–235996.
6.
Zhu, Changan, et al.. (2023). High-Speed Deformation Measurement with Event-Based Cameras. Experimental Mechanics. 63(6). 987–994. 3 indexed citations
8.
Su, Yong, et al.. (2022). Deep learning for complex displacement field measurement. Science China Technological Sciences. 65(12). 3039–3056. 21 indexed citations
9.
Wang, Yan, et al.. (2021). Optimal Aperture and Digital Speckle Optimization in Digital Image Correlation. Experimental Mechanics. 61(4). 677–684. 20 indexed citations
10.
Fang, Zheng, Yue Gao, Zeren Gao, et al.. (2020). Efficient and automated initial value estimation in digital image correlation for large displacement, rotation, and scaling. Applied Optics. 59(33). 10523–10523. 12 indexed citations
11.
Su, Yong, Zeren Gao, Yang Liu, et al.. (2020). Uniformity and isotropy of speckle pattern cause the doubled random error phenomenon in digital image correlation. Optics and Lasers in Engineering. 131. 106097–106097. 10 indexed citations
12.
Su, Yong, Zeren Gao, Zheng Fang, et al.. (2019). Theoretical analysis on performance of digital speckle pattern: uniqueness, accuracy, precision, and spatial resolution. Optics Express. 27(16). 22439–22439. 46 indexed citations
13.
Gao, Zeren, Qingchuan Zhang, Yong Su, & Shangquan Wu. (2017). Accuracy evaluation of optical distortion calibration by digital image correlation. Optics and Lasers in Engineering. 98. 143–152. 30 indexed citations
14.
Su, Yong, Qingchuan Zhang, Zeren Gao, Xiaohai Xu, & Xiaoping Wu. (2015). Fourier-based interpolation bias prediction in digital image correlation. Optics Express. 23(15). 19242–19242. 88 indexed citations
15.
Li, Jing, Sufang Han, Ziliang Qian, et al.. (2013). Genetic amplification ofPPME1in gastric and lung cancer and its potential as a novel therapeutic target. Cancer Biology & Therapy. 15(1). 128–134. 21 indexed citations
16.
Brandt, Cameron S., Myriam Baratin, Eugene C. Yi, et al.. (2009). The B7 family member B7-H6 is a tumor cell ligand for the activating natural killer cell receptor NKp30 in humans. The Journal of Experimental Medicine. 206(7). 1495–1503. 526 indexed citations breakdown →
17.
Gilbertson, Debra G., James W. West, James D. Kelly, et al.. (2001). Platelet-derived Growth Factor C (PDGF-C), a Novel Growth Factor That Binds to PDGF α and β Receptor. Journal of Biological Chemistry. 276(29). 27406–27414. 233 indexed citations
18.
Gao, Zeren & David L. Garbers. (1998). Species Diversity in the Structure of Zonadhesin, a Sperm-specific Membrane Protein Containing Multiple Cell Adhesion Molecule-like Domains. Journal of Biological Chemistry. 273(6). 3415–3421. 90 indexed citations
19.
Gao, Zeren, Tatsuo Harumi, & David L. Garbers. (1997). Chromosome Localization of the Mouse Zonadhesin Gene and the Human Zonadhesin Gene (ZAN). Genomics. 41(1). 119–122. 13 indexed citations
20.
Yang, Yuansheng, et al.. (1992). Secretion of the STA3 heat‐stable enterotoxin of Escherichia coli: extracellular delivery of Pro‐STA is accomplished by either Pro or STA. Molecular Microbiology. 6(23). 3521–3529. 14 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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