Fengqing Zhu

4.0k total citations
132 papers, 2.5k citations indexed

About

Fengqing Zhu is a scholar working on Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Biomedical Engineering. According to data from OpenAlex, Fengqing Zhu has authored 132 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 51 papers in Public Health, Environmental and Occupational Health and 29 papers in Biomedical Engineering. Recurrent topics in Fengqing Zhu's work include Nutritional Studies and Diet (48 papers), Advanced Chemical Sensor Technologies (28 papers) and Advanced Data Compression Techniques (14 papers). Fengqing Zhu is often cited by papers focused on Nutritional Studies and Diet (48 papers), Advanced Chemical Sensor Technologies (28 papers) and Advanced Data Compression Techniques (14 papers). Fengqing Zhu collaborates with scholars based in United States, Australia and China. Fengqing Zhu's co-authors include Edward J. Delp, Carol J. Boushey, Marc Bosch, Deborah A. Kerr, David S. Ebert, Jiangpeng He, Nitin Khanna, Melissa Spoden, TusaRebecca E. Schap and Insoo Woo and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and American Journal of Clinical Nutrition.

In The Last Decade

Fengqing Zhu

118 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fengqing Zhu United States 25 1.4k 706 580 396 352 132 2.5k
Marc Bosch United States 16 757 0.5× 364 0.5× 329 0.6× 259 0.7× 180 0.5× 30 1.3k
Nitin Khanna India 23 492 0.4× 873 1.2× 370 0.6× 73 0.2× 112 0.3× 76 1.6k
‪Keiji Yanai‬ Japan 27 865 0.6× 1.3k 1.8× 1.0k 1.8× 49 0.1× 67 0.2× 196 2.8k
A. Bonomi Netherlands 22 435 0.3× 399 0.6× 477 0.8× 206 0.5× 812 2.3× 75 2.0k
Bahadır K. Güntürk United States 19 345 0.2× 2.0k 2.9× 144 0.2× 119 0.3× 128 0.4× 73 2.9k
Karen Rafferty United Kingdom 19 418 0.3× 80 0.1× 174 0.3× 42 0.1× 382 1.1× 66 1.5k
Shirin Panahi Iran 27 516 0.4× 96 0.1× 33 0.1× 126 0.3× 704 2.0× 79 2.2k
Insoo Woo United States 9 274 0.2× 229 0.3× 165 0.3× 87 0.2× 58 0.2× 12 801
Edison Thomaz United States 20 313 0.2× 472 0.7× 238 0.4× 286 0.7× 109 0.3× 56 1.4k

Countries citing papers authored by Fengqing Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Fengqing Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengqing Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengqing Zhu. A scholar is included among the top collaborators of Fengqing Zhu 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 Fengqing Zhu. Fengqing Zhu 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.
Zhang, Yichi, et al.. (2025). Balanced Rate-Distortion Optimization in Learned Image Compression. 2428–2438.
2.
Zhu, Fengqing, Ziyu Zhang, Yuanyuan Zhao, et al.. (2024). YAP Alleviates Pulmonary Fibrosis Through Promoting Alveolar Regeneration via Modulating the Stemness of Alveolar Type 2 Cells. Stem Cells and Development. 33(21-22). 586–594. 2 indexed citations
3.
Cowan, Alexandra, et al.. (2024). Diet Quality and Eating Frequency Were Associated with Insulin-Taking Status among Adults. Nutrients. 16(20). 3441–3441.
4.
Zhu, Fengqing, et al.. (2024). Deep Hierarchical Video Compression. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8859–8867. 8 indexed citations
5.
6.
Lin, Qian, et al.. (2023). Depth assisted portrait video background blurring. Electronic Imaging. 35(7). 273–1. 3 indexed citations
7.
He, Jiangpeng, et al.. (2023). An Improved Upper Bound on the Rate-Distortion Function of Images. 80. 246–250. 1 indexed citations
8.
Allebach, Jan P., et al.. (2023). Exploiting Temporal Information in Real-time Portrait Video Segmentation. 33–39. 2 indexed citations
9.
He, Jiangpeng, et al.. (2023). Self-supervised visual representation learning on food images. Electronic Imaging. 35(7). 269–1. 2 indexed citations
10.
Fialkowski, Marie K., et al.. (2022). An Active Image-Based Mobile Food Record Is Feasible for Capturing Eating Occasions among Infants Ages 3–12 Months Old in Hawai‘i. Nutrients. 14(5). 1075–1075. 4 indexed citations
11.
12.
Campbell, Sally, John J. Chen, Carol J. Boushey, et al.. (2020). Food Security and Diet Quality in Native Hawaiian, Pacific Islander, and Filipino Infants 3 to 12 Months of Age. Nutrients. 12(7). 2120–2120. 6 indexed citations
13.
Güera, David, et al.. (2019). Splicing Detection and Localization In Satellite Imagery Using Conditional GANs. arXiv (Cornell University). 91–96. 23 indexed citations
14.
Alshurafa, Nabil, Annie Lin, Fengqing Zhu, et al.. (2019). Counting Bites With Bits: Expert Workshop Addressing Calorie and Macronutrient Intake Monitoring. Journal of Medical Internet Research. 21(12). e14904–e14904. 20 indexed citations
15.
Dhaliwal, Satvinder S., Christina Pollard, Carol J. Boushey, et al.. (2019). Image-Based Dietary Assessment and Tailored Feedback Using Mobile Technology: Mediating Behavior Change in Young Adults. Nutrients. 11(2). 435–435. 10 indexed citations
16.
Güera, David, et al.. (2018). Satellite image forgery detection and localization using GAN and One-Class classifier. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 44 indexed citations
17.
Kerr, Deborah A., Satvinder S. Dhaliwal, Christina Pollard, et al.. (2017). BMI is Associated with the Willingness to Record Diet  with  a  Mobile  Food  Record  among  Adults  Participating in Dietary Interventions. Nutrients. 9(3). 244–244. 12 indexed citations
18.
Boushey, Carol J., Melissa Spoden, Fengqing Zhu, Edward J. Delp, & Deborah A. Kerr. (2016). New mobile methods for dietary assessment: review of image-assisted and image-based dietary assessment methods. Proceedings of The Nutrition Society. 76(3). 283–294. 237 indexed citations
19.
Yang, Meilin, et al.. (2011). Video coding: Death is not near. 85–88. 1 indexed citations
20.
Schap, TusaRebecca E., Fengqing Zhu, Anand Mariappan, et al.. (2009). Evidence-Based Development of a Mobile Telephone Food Record. Journal of the American Dietetic Association. 110(1). 74–79. 151 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Marc Bosch Breakdown of academic impact, for papers by Nitin Khanna Breakdown of academic impact, for papers by ‪Keiji Yanai‬ Breakdown of academic impact, for papers by A. Bonomi Breakdown of academic impact, for papers by Bahadır K. Güntürk Breakdown of academic impact, for papers by Karen Rafferty Breakdown of academic impact, for papers by Shirin Panahi Breakdown of academic impact, for papers by Insoo Woo Breakdown of academic impact, for papers by Edison Thomaz
Rankless by CCL
2026