Bing Pan

17.3k total citations · 9 hit papers
260 papers, 13.9k citations indexed

About

Bing Pan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Mechanical Engineering. According to data from OpenAlex, Bing Pan has authored 260 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 182 papers in Computer Vision and Pattern Recognition, 100 papers in Media Technology and 61 papers in Mechanical Engineering. Recurrent topics in Bing Pan's work include Optical measurement and interference techniques (176 papers), Image Processing Techniques and Applications (97 papers) and Advanced Vision and Imaging (72 papers). Bing Pan is often cited by papers focused on Optical measurement and interference techniques (176 papers), Image Processing Techniques and Applications (97 papers) and Advanced Vision and Imaging (72 papers). Bing Pan collaborates with scholars based in China, United States and Singapore. Bing Pan's co-authors include Huimin Xie, Anand Asundi, Qian Kemao, Liping Yu, Zhaoyang Wang, Dafang Wu, Bo Wang, Yali Dong, Yong Xia and Bin Chen and has published in prestigious journals such as Applied Physics Letters, Journal of Cleaner Production and Food Chemistry.

In The Last Decade

Bing Pan

248 papers receiving 13.3k citations

Hit Papers

Two-dimensional digital image correlation for in-plane di... 2006 2026 2012 2019 2009 2018 2008 2013 2009 500 1000 1.5k 2.0k
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.

  1. Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review
    2009 2.5k citations Bing Pan et al. profile →
  2. Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals
    2018 608 citations Bing Pan profile →
  3. Study on subset size selection in digital image correlation for speckle patterns
    2008 503 citations Bing Pan, Zhaoyang Wang et al. profile →
  4. Fast, Robust and Accurate Digital Image Correlation Calculation Without Redundant Computations
    2013 451 citations Bing Pan et al. profile →
  5. Mean intensity gradient: An effective global parameter for quality assessment of the speckle patterns used in digital image correlation
    2009 449 citations Bing Pan et al. Optics and Lasers in Engineering profile →
  6. Performance of sub-pixel registration algorithms in digital image correlation
    2006 428 citations Bing Pan et al. profile →
  7. Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements
    2009 372 citations Bing Pan et al. Optics and Lasers in Engineering profile →
  8. Equivalence of digital image correlation criteria for pattern matching
    2010 353 citations Bing Pan, Zhaoyang Wang et al. profile →
  9. A Review of Speckle Pattern Fabrication and Assessment for Digital Image Correlation
    2017 314 citations Bing Pan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Pan China 55 8.7k 3.7k 3.4k 3.2k 2.5k 260 13.9k
Anand Asundi Singapore 52 7.7k 0.9× 3.2k 0.9× 3.2k 1.0× 1.9k 0.6× 1.7k 0.7× 515 13.8k
Michael A. Sutton United States 53 7.1k 0.8× 5.8k 1.6× 2.0k 0.6× 4.4k 1.4× 5.4k 2.2× 231 16.5k
Qian Kemao Singapore 40 6.7k 0.8× 2.5k 0.7× 2.8k 0.8× 1.6k 0.5× 1.1k 0.4× 168 9.3k
François Hild France 57 4.9k 0.6× 5.0k 1.4× 1.1k 0.3× 4.2k 1.3× 5.8k 2.3× 413 13.4k
Hubert W. Schreier United States 19 3.7k 0.4× 2.1k 0.6× 1.2k 0.4× 1.9k 0.6× 1.9k 0.8× 32 6.9k
Song Zhang United States 57 8.9k 1.0× 4.5k 1.2× 3.9k 1.1× 874 0.3× 230 0.1× 336 12.9k
Xavier Maldague Canada 48 1.4k 0.2× 1.6k 0.4× 511 0.2× 2.4k 0.8× 8.8k 3.5× 505 11.9k
Michel Grédiac France 39 2.7k 0.3× 2.0k 0.6× 471 0.1× 2.3k 0.7× 2.4k 1.0× 176 6.1k
Zhaoyang Wang China 34 3.0k 0.4× 1.2k 0.3× 1.3k 0.4× 626 0.2× 534 0.2× 169 4.7k
W. F. Ranson United States 11 2.8k 0.3× 1.5k 0.4× 624 0.2× 1.6k 0.5× 1.4k 0.6× 28 5.1k

Countries citing papers authored by Bing Pan

Since Specialization
Citations

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

Fields of papers citing papers by Bing Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Pan. A scholar is included among the top collaborators of Bing Pan 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 Bing Pan. Bing Pan 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.
Song, Xiaojing, Bing Pan, Kun Ma, et al.. (2025). High-density lectin microarray uncovers stage-specific plasma glycoprofiling signatures for non-muscle-invasive and muscle-invasive bladder cancer. International Urology and Nephrology. 58(3). 789–802.
2.
Zhu, Kaiyu, et al.. (2025). Metrological performance quantification of a 3D-DIC system. Measurement. 249. 117008–117008. 1 indexed citations
3.
Wang, Yuzhen, Matthew Du, Bing Pan, et al.. (2025). A novel fluorescent sensor for imaging of viscosity and ClO− in plant cells and zebrafish. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 337. 126162–126162.
4.
Zhu, Kaiyu, et al.. (2024). Improved mirror-assisted multi-view digital image correlation for accuracy-enhanced dual-surface profile and deformation measurement. Optics and Lasers in Engineering. 181. 108440–108440. 2 indexed citations
5.
Zhang, Liang, Wen He, Wenze Wang, et al.. (2024). Self-assembly technology engineering multi-functional slow-release packaging system with self-starting program for prolonged preservation of perishable products. Food Hydrocolloids. 155. 110230–110230. 17 indexed citations
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Zhao, Jianhui & Bing Pan. (2024). Smart DIC: User-independent, accurate and precise DIC measurement with self-adaptively selected optimal calculation parameters. Mechanical Systems and Signal Processing. 222. 111792–111792. 10 indexed citations
8.
Pan, Bing, et al.. (2024). “Subvolume Splitting” DVC applied for accurate discontinuous deformation measurement and fracture parameter extraction. Theoretical and Applied Fracture Mechanics. 130. 104341–104341. 1 indexed citations
9.
Zhao, Tingting, Yanyan Jiang, Sheng Wang, et al.. (2024). Fabrication of Chitosan-Based Hydrogel Embedded with Antibacterial AgMXene Nanocomposites as Photothermal Centers for Solar Steam Generation and Purification. ACS Applied Energy Materials. 7(3). 1250–1260. 13 indexed citations
10.
Wu, Mengmeng, Jianfeng Wang, Bing Pan, & Zhen‐Yu Yin. (2024). Particle tracking-aided digital volume correlation for clay–sand soil mixtures. Géotechnique. 75(6). 760–772. 5 indexed citations
11.
Liu, Yanzhao, Liping Yu, Zhaoyang Wang, & Bing Pan. (2023). Neutralizing the impact of heat haze on digital image correlation measurements via deep learning. Optics and Lasers in Engineering. 164. 107522–107522. 8 indexed citations
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Zhang, Xiaoying, et al.. (2023). Laser speckle DIC revisited: An improved calculation scheme for large deformation measurement. Optics & Laser Technology. 168. 109913–109913. 12 indexed citations
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Tian, Long, et al.. (2019). Drift error compensation for vision-based bridge deflection monitoring. Smart Structures and Systems. 24(5). 649. 3 indexed citations
18.
Pan, Bing, et al.. (2015). 3D thermal deformation measurement of superalloy honeycomb panels in time-varying thermal radiation environment. Beijing Hangkong Hangtian Daxue xuebao. 41(6). 969. 2 indexed citations
19.
Pan, Bing, et al.. (2011). MECHANICAL PROPERTIES OF SUPER–HIGH STRENGTH Al ALLOY 7A04 AT TRANSIENT HEATING. Acta Metallurgica Sinica. 47(6). 757–762. 1 indexed citations
20.
Pan, Bing. (2005). In-plane displacement measurement by gradient-based digital image correlation. Optical Technique. 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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