Jiangpeng He

616 total citations
31 papers, 279 citations indexed

About

Jiangpeng He is a scholar working on Public Health, Environmental and Occupational Health, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Jiangpeng He has authored 31 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 12 papers in Computer Vision and Pattern Recognition and 10 papers in Biomedical Engineering. Recurrent topics in Jiangpeng He's work include Nutritional Studies and Diet (13 papers), Advanced Chemical Sensor Technologies (10 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Jiangpeng He is often cited by papers focused on Nutritional Studies and Diet (13 papers), Advanced Chemical Sensor Technologies (10 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Jiangpeng He collaborates with scholars based in United States, Australia and China. Jiangpeng He's co-authors include Fengqing Zhu, Zeman Shao, Janine Wright, Deborah A. Kerr, Carol J. Boushey, Heather A. Eicher‐Miller, Yue Han, Xinyue Pan, Jinge Ma and Alexandra Cowan and has published in prestigious journals such as Nutrients, arXiv (Cornell University) and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Jiangpeng He

26 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangpeng He United States 10 119 92 73 61 24 31 279
Zeman Shao United States 7 69 0.6× 47 0.5× 86 1.2× 48 0.8× 22 0.9× 13 229
Chun Pong Lau United States 9 72 0.6× 130 1.4× 40 0.5× 75 1.2× 32 1.3× 23 274
Yuanzhi Liang China 8 63 0.5× 231 2.5× 15 0.2× 32 0.5× 10 0.4× 15 300
Cholwich Nattee Thailand 8 61 0.5× 139 1.5× 36 0.5× 95 1.6× 6 0.3× 36 257
Anand Prakash Shukla India 8 48 0.4× 48 0.5× 29 0.4× 10 0.2× 4 0.2× 24 259
AKM Shahariar Azad Rabby Bangladesh 9 87 0.7× 133 1.4× 10 0.1× 37 0.6× 3 0.1× 26 291
Priti Sehgal India 9 35 0.3× 157 1.7× 4 0.1× 69 1.1× 5 0.2× 24 387
Ishan R. Dave India 8 70 0.6× 183 2.0× 11 0.2× 13 0.2× 6 0.3× 10 231
Preety Baglat Portugal 7 86 0.7× 30 0.3× 5 0.1× 18 0.3× 18 0.8× 9 222
S. X. Li China 8 105 0.9× 80 0.9× 8 0.1× 14 0.2× 4 0.2× 21 212

Countries citing papers authored by Jiangpeng He

Since Specialization
Citations

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

Fields of papers citing papers by Jiangpeng He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangpeng He

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangpeng He. A scholar is included among the top collaborators of Jiangpeng He 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 Jiangpeng He. Jiangpeng He 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
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.
He, Jiangpeng, et al.. (2024). DELTA: Decoupling Long-Tailed Online Continual Learning. 4054–4064. 1 indexed citations
6.
Kolbinger, Fiona R., Jiangpeng He, Jinge Ma, & Fengqing Zhu. (2024). Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models. 2275–2284. 2 indexed citations
7.
Lu, Ming, et al.. (2024). Towards Backward-Compatible Continual Learning of Image Compression. arXiv (Cornell University). 25564–25573. 1 indexed citations
8.
9.
Hassan, Mohamed Abul, Jiangpeng He, Janine Higgins, et al.. (2024). Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor. 3685–3694. 1 indexed citations
10.
He, Jiangpeng, et al.. (2024). Online Class-Incremental Learning For Real-World Food Image Classification. 8180–8189. 5 indexed citations
11.
He, Jiangpeng. (2024). Gradient Reweighting: Towards Imbalanced Class-Incremental Learning. 16668–16677. 15 indexed citations
12.
He, Jiangpeng, et al.. (2023). Self-supervised visual representation learning on food images. Electronic Imaging. 35(7). 269–1. 2 indexed citations
14.
He, Jiangpeng, et al.. (2023). An Improved Upper Bound on the Rate-Distortion Function of Images. 80. 246–250. 1 indexed citations
15.
Pan, Xinyue, Jiangpeng He, & Fengqing Zhu. (2023). Personalized Food Image Classification: Benchmark Datasets and New Baseline. 1095–1099. 2 indexed citations
16.
He, Jiangpeng, et al.. (2023). An Improved Encoder-Decoder Framework for Food Energy Estimation. 53–59. 1 indexed citations
17.
He, Jiangpeng, et al.. (2023). Long-Tailed Food Classification. Nutrients. 15(12). 2751–2751. 14 indexed citations
18.
Shao, Zeman, Yue Han, Jiangpeng He, et al.. (2021). An Integrated System for Mobile Image-Based Dietary Assessment. 19–23. 11 indexed citations
19.
He, Jiangpeng & Fengqing Zhu. (2021). Online Continual Learning For Visual Food Classification. 2337–2346. 35 indexed citations
20.
He, Jiangpeng, et al.. (2020). Incremental Learning in Online Scenario. 13923–13932. 90 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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