Donglai Wei

3.9k total citations · 1 hit paper
66 papers, 1.5k citations indexed

About

Donglai Wei is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence. According to data from OpenAlex, Donglai Wei has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 13 papers in Biophysics and 11 papers in Artificial Intelligence. Recurrent topics in Donglai Wei's work include Cell Image Analysis Techniques (12 papers), Advanced Neural Network Applications (7 papers) and Advanced Vision and Imaging (7 papers). Donglai Wei is often cited by papers focused on Cell Image Analysis Techniques (12 papers), Advanced Neural Network Applications (7 papers) and Advanced Vision and Imaging (7 papers). Donglai Wei collaborates with scholars based in United States, China and Switzerland. Donglai Wei's co-authors include Hanspeter Pfister, Jiancheng Yang, William T. Freeman, Jason S. Chang, John W. Fisher, Bingbing Ni, Lin Zhao, Zequan Liu, Rui Shi and Andrew Zisserman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Donglai Wei

61 papers receiving 1.5k citations

Hit Papers

MedMNIST v2 - A large-scale lightweight benchmark for 2D ... 2023 2026 2024 2025 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donglai Wei United States 18 619 468 189 143 134 66 1.5k
Zhibin Yu China 20 643 1.0× 182 0.4× 211 1.1× 52 0.4× 74 0.6× 92 1.4k
Xiaoyu Jiang China 22 298 0.5× 281 0.6× 312 1.7× 97 0.7× 179 1.3× 164 1.8k
Hongyuan Wang China 21 483 0.8× 178 0.4× 257 1.4× 56 0.4× 217 1.6× 148 1.5k
Ajay Shrestha United States 5 250 0.4× 387 0.8× 187 1.0× 195 1.4× 87 0.6× 11 1.4k
Shuying Liu China 12 322 0.5× 196 0.4× 153 0.8× 92 0.6× 103 0.8× 57 1.0k
Shuai Li China 26 1.2k 2.0× 304 0.6× 202 1.1× 144 1.0× 30 0.2× 132 2.1k
Guangmin Sun China 20 406 0.7× 280 0.6× 128 0.7× 301 2.1× 66 0.5× 148 1.3k
Jianyu Wang China 23 632 1.0× 1.1k 2.4× 194 1.0× 33 0.2× 83 0.6× 155 2.6k
Hai Liu China 22 378 0.6× 180 0.4× 156 0.8× 63 0.4× 84 0.6× 75 1.5k

Countries citing papers authored by Donglai Wei

Since Specialization
Citations

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

Fields of papers citing papers by Donglai Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donglai Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Donglai Wei. A scholar is included among the top collaborators of Donglai Wei 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 Donglai Wei. Donglai Wei 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.
Wan, Jia, Wanhua Li, Evelina Sjöstedt, et al.. (2025). TriSAM: Tri-Plane SAM for Zero-Shot Cortical Blood Vessel Segmentation in VEM Images. IEEE Journal of Biomedical and Health Informatics. 29(11). 8246–8255.
2.
Zhang, S. H., Netanel Ofer, Christophe Dupré, et al.. (2025). Ultrastructural reconstruction of the endodermal nerve net of Hydra vulgaris. Current Biology. 35(22). 5490–5501.e3.
3.
Yang, Jiancheng, et al.. (2024). Efficient anatomical labeling of pulmonary tree structures via deep point-graph representation-based implicit fields. Medical Image Analysis. 99. 103367–103367. 3 indexed citations
4.
Leahy, Brian, Won-Dong Jang, Donglai Wei, et al.. (2024). BlastAssist: a deep learning pipeline to measure interpretable features of human embryos. Human Reproduction. 39(4). 698–708. 8 indexed citations
5.
Kang, Jinyoung, Young-Mi Lee, Eunah Yu, et al.. (2024). Multiplexed expansion revealing for imaging multiprotein nanostructures in healthy and diseased brain. Nature Communications. 15(1). 9722–9722. 2 indexed citations
6.
Chen, Guangyi, et al.. (2024). Learning Socio-Temporal Graphs for Multi-Agent Trajectory Prediction. 55–64. 1 indexed citations
7.
Wei, Donglai, et al.. (2024). VizAbility: Enhancing Chart Accessibility with LLM-based Conversational Interaction. 1–19. 9 indexed citations
8.
Velicky, Philipp, Eder Miguel, Donglai Wei, et al.. (2023). Dense 4D nanoscale reconstruction of living brain tissue. Nature Methods. 20(8). 1256–1265. 16 indexed citations
9.
Liu, Yang, et al.. (2023). Stochastic video normality network for abnormal event detection in surveillance videos. Knowledge-Based Systems. 280. 110986–110986. 25 indexed citations
10.
Jin, Liang, Donglai Wei, Kaiming Kuang, et al.. (2023). RibSeg v2: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. IEEE Transactions on Medical Imaging. 43(1). 570–581. 7 indexed citations
11.
Karlupia, Neha, Richard Schalek, Yuelong Wu, et al.. (2023). Immersion Fixation and Staining of Multicubic Millimeter Volumes for Electron Microscopy–Based Connectomics of Human Brain Biopsies. Biological Psychiatry. 94(4). 352–360. 9 indexed citations
12.
Kang, Tongtong, et al.. (2022). Review of Flexible Wearable Sensor Devices for Biomedical Application. Micromachines. 13(9). 1395–1395. 58 indexed citations
13.
Yapp, Clarence, Edward Novikov, Won-Dong Jang, et al.. (2022). UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues. Communications Biology. 5(1). 1263–1263. 20 indexed citations
15.
Zhang, Yulun, Donglai Wei, Can Qin, et al.. (2021). Context Reasoning Attention Network for Image Super-Resolution. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4258–4267. 61 indexed citations
16.
Rademacher, Tim, Bijan Seyednasrollah, David Basler, et al.. (2021). The Wood Image Analysis and Dataset (WIAD): Open‐access visual analysis tools to advance the ecological data revolution. Methods in Ecology and Evolution. 12(12). 2379–2387. 8 indexed citations
17.
Wei, Donglai, et al.. (2021). Adsorption of copper (II) and cadmium (II) ions by in situ doped nano-calcium carbonate high-intensity chitin hydrogels. Journal of Hazardous Materials. 423(Pt B). 127137–127137. 110 indexed citations
18.
Wei, Donglai, et al.. (2018). Parallel Separable 3D Convolution for Video and Volumetric Data Understanding.. arXiv (Cornell University). 42. 3 indexed citations
19.
Wei, Donglai, Joseph J. Lim, Andrew Zisserman, & William T. Freeman. (2018). Learning and Using the Arrow of Time. 8052–8060. 160 indexed citations
20.
Jin, Zhaoyang, Nannan Li, Kai Yan, et al.. (2017). Controlling Flow Instability in Straight Spur Gear Forging Using Numerical Simulation and Response Surface Method. Acta Metallurgica Sinica (English Letters). 31(1). 82–96. 8 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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