Zhe Gan

256 total papers · 16.0k total citations
93 papers, 5.0k citations indexed

About

Zhe Gan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cancer Research. According to data from OpenAlex, Zhe Gan has authored 93 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 58 papers in Computer Vision and Pattern Recognition and 5 papers in Cancer Research. Recurrent topics in Zhe Gan's work include Multimodal Machine Learning Applications (44 papers), Topic Modeling (36 papers) and Domain Adaptation and Few-Shot Learning (29 papers). Zhe Gan is often cited by papers focused on Multimodal Machine Learning Applications (44 papers), Topic Modeling (36 papers) and Domain Adaptation and Few-Shot Learning (29 papers). Zhe Gan collaborates with scholars based in United States, United Kingdom and China. Zhe Gan's co-authors include Linjie Li, Jingjing Liu, Xiaodong He, Pengchuan Zhang, Qiuyuan Huang, Xiaolei Huang, Tao Xu, Han Zhang, Lijuan Wang and Zicheng Liu and has published in prestigious journals such as The Journal of the Acoustical Society of America, Frontiers in Immunology and PROTEOMICS.

In The Last Decade

Zhe Gan

88 papers receiving 4.8k citations

Hit Papers

AttnGAN: Fine-Grained Tex... 2018 2026 2020 2023 2018 2021 2020 2022 2022 250 500 750 1000
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
    2018 1.0k citations Tao Xu, Pengchuan Zhang et al. profile →
  2. Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling
    2021 366 citations Jie Lei, Linjie Li et al. profile →
  3. HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training
    2020 263 citations Linjie Li, Yen‐Chun Chen et al. profile →
  4. An Empirical Study of Training End-to-End Vision-and-Language Transformers
    2022 200 citations Zi-Yi Dou, Yichong Xu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  5. SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning
    2022 157 citations Kevin Lin, Linjie Li et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
  6. An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
    2022 141 citations Zhengyuan Yang, Zhe Gan et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →
  7. Multimodal Foundation Models: From Specialists to General-Purpose Assistants
    2024 50 citations Chunyuan Li, Zhe Gan et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhe Gan 3.7k 2.7k 181 164 123 93 5.0k
Jung-Woo Ha 1.9k 0.5× 1.3k 0.5× 174 1.0× 151 0.9× 116 0.9× 77 2.8k
François Fleuret 3.2k 0.9× 1.5k 0.6× 223 1.2× 60 0.4× 85 0.7× 93 4.2k
Lu Jiang 2.5k 0.7× 1.9k 0.7× 205 1.1× 45 0.3× 112 0.9× 64 3.7k
Chunyuan Li 1.5k 0.4× 1.6k 0.6× 90 0.5× 105 0.6× 113 0.9× 78 2.9k
Song Han 4.1k 1.1× 2.8k 1.0× 210 1.2× 57 0.3× 177 1.4× 103 7.0k
Yuxin Peng 3.9k 1.1× 1.8k 0.7× 213 1.2× 53 0.3× 204 1.7× 209 5.0k
Xiaoshuai Sun 3.1k 0.8× 1.2k 0.5× 132 0.7× 44 0.3× 103 0.8× 162 3.6k
Chen Qian 2.3k 0.6× 1.1k 0.4× 191 1.1× 51 0.3× 61 0.5× 107 3.1k
Samuel Rota Bulò 2.0k 0.5× 1.2k 0.4× 178 1.0× 131 0.8× 74 0.6× 79 3.1k
Baoyuan Wu 2.0k 0.5× 1.5k 0.5× 293 1.6× 42 0.3× 108 0.9× 72 2.8k

Countries citing papers authored by Zhe Gan

Since Specialization
Citations

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

Fields of papers citing papers by Zhe Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhe Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhe Gan. A scholar is included among the top collaborators of Zhe Gan 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 Zhe Gan. Zhe Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026