Zongyuan Ge

11.9k total citations · 4 hit papers
133 papers, 6.0k citations indexed

About

Zongyuan Ge is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zongyuan Ge has authored 133 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 41 papers in Computer Vision and Pattern Recognition and 32 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zongyuan Ge's work include AI in cancer detection (19 papers), Retinal Imaging and Analysis (17 papers) and Cutaneous Melanoma Detection and Management (15 papers). Zongyuan Ge is often cited by papers focused on AI in cancer detection (19 papers), Retinal Imaging and Analysis (17 papers) and Cutaneous Melanoma Detection and Management (15 papers). Zongyuan Ge collaborates with scholars based in Australia, China and Hong Kong. Zongyuan Ge's co-authors include Ben Upcroft, Alex Bewley, Fábio Ramos, Lionel Ott, Chris McCool, Inkyu Sa, Tristán Pérez, Feras Dayoub, Dwarikanath Mahapatra and Xiaojun Chang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Zongyuan Ge

117 papers receiving 5.9k citations

Hit Papers

align trajectories

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.

Simple online and realtime tracking

2016 2.2k citations Zongyuan Ge et al. profile →
DeepFruits: A Fruit Detection System Using Deep Neural Networks

2016 807 citations Zongyuan Ge et al. profile →
Mutual consistency learning for semi-supervised medical image segmentation

2022 192 citations Zongyuan Ge, Donghao Zhang et al. Medical Image Analysis profile →
Hierarchically resistive skins as specific and multimetric on-throat wearable biosensors

2023 129 citations Zongyuan Ge et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zongyuan Ge Australia	34	2.8k	1.3k	807	594	565	133	6.0k
Priya Goyal India	5	3.2k 1.1×	1.6k 1.2×	301 0.4×	671 1.1×	742 1.3×	9	6.3k
Peihua Li China	29	4.6k 1.6×	1.9k 1.4×	580 0.7×	603 1.0×	742 1.3×	118	8.2k
Gang Sun China	9	4.9k 1.8×	2.1k 1.6×	423 0.5×	1.0k 1.7×	536 0.9×	18	8.6k
Hanzi Mao United States	5	3.8k 1.4×	1.9k 1.5×	345 0.4×	866 1.5×	606 1.1×	8	7.8k
Amjad J. Humaidi Iraq	31	1.4k 0.5×	1.6k 1.2×	343 0.4×	748 1.3×	369 0.7×	177	7.4k
Samuel Albanie United Kingdom	14	5.1k 1.8×	2.4k 1.8×	382 0.5×	1.0k 1.7×	548 1.0×	30	9.1k
José Santamaría Spain	24	1.6k 0.6×	1.9k 1.4×	375 0.5×	970 1.6×	338 0.6×	61	6.7k
Enhua Wu China	21	5.8k 2.1×	2.1k 1.6×	408 0.5×	1.0k 1.7×	631 1.1×	198	10.1k
Li Shen China	9	6.2k 2.2×	2.3k 1.7×	383 0.5×	1.0k 1.7×	549 1.0×	51	10.1k

Countries citing papers authored by Zongyuan Ge

Since Specialization

Citations

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

Fields of papers citing papers by Zongyuan Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zongyuan Ge

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Deyin, Lin Wu, Bo Li, et al.. (2025). T-Person-GAN: Text-to-Person image generation with identity-consistency and manifold mix-up. Expert Systems with Applications. 288. 128178–128178.

Liu, Chi, Danli Shi, Yueye Wang, et al.. (2025). Addressing underestimation and explanation of retinal fundus photo-based cardiovascular disease risk score: Algorithm development and validation. Computers in Biology and Medicine. 189. 109941–109941.

Ma, Yanan, et al.. (2025). CrackMamba with Normalized Soft-Frangi-Filter Enhancement towards Accurate Crack Segmentation. 43–51.

Lee, David, Melanie Bissessor, Ei T. Aung, et al.. (2025). Using deep learning systems for diagnosing common skin lesions in sexual health. Communications Medicine. 5(1). 452–452.

Mahapatra, Dwarikanath, Ruwan Tennakoon, Yasmeen George, et al.. (2024). ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Analysis. 97. 103261–103261. 3 indexed citations

Mahapatra, Dwarikanath, Antonio Jimeno Yepes, Behzad Bozorgtabar, et al.. (2024). Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement. IEEE Transactions on Medical Imaging. 44(1). 31–43. 3 indexed citations

Yu, Zhen, David Lee, Zongyuan Ge, et al.. (2024). Using AI to Differentiate Mpox From Common Skin Lesions in a Sexual Health Clinic: Algorithm Development and Validation Study. Journal of Medical Internet Research. 26. e52490–e52490. 11 indexed citations

Ge, Zongyuan, et al.. (2024). Developing an Ethical Regulatory Framework for Artificial Intelligence: Integrating Systematic Review, Thematic Analysis, and Multidisciplinary Theories. IEEE Access. 12. 179383–179395. 3 indexed citations

Chen, Yutong, Xi Lu, Gabriella Bulloch, et al.. (2023). The Association between Dietary Iron Intake and Incidence of Dementia in Adults Aged 60 Years or over in the UK Biobank. Nutrients. 15(2). 260–260. 4 indexed citations

10.

Chen, Ruiye, Yueye Wang, Shiran Zhang, et al.. (2023). Biomarkers of ageing: Current state‐of‐art, challenges, and opportunities. SHILAP Revista de lepidopterología. 2(2). 28 indexed citations

11.

Barnett, Scott, Shobi Sivathamboo, Piero Perucca, et al.. (2023). EEG datasets for seizure detection and prediction— A review. Epilepsia Open. 8(2). 252–267. 47 indexed citations

12.

Zhang, Donghao, Danli Shi, Renjing Xu, et al.. (2023). Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation. Journal of Biomedical Informatics. 138. 104281–104281. 22 indexed citations

13.

Xu, Xianglong, Zongyuan Ge, Eric P. F. Chow, et al.. (2022). A Machine-Learning-Based Risk-Prediction Tool for HIV and Sexually Transmitted Infections Acquisition over the Next 12 Months. Journal of Clinical Medicine. 11(7). 1818–1818. 36 indexed citations

14.

Xu, Xianglong, Zhen Yu, Zongyuan Ge, et al.. (2022). Web-Based Risk Prediction Tool for an Individual's Risk of HIV and Sexually Transmitted Infections Using Machine Learning Algorithms: Development and External Validation Study. Journal of Medical Internet Research. 24(8). e37850–e37850. 33 indexed citations

15.

Xia, Xiaobo, Tongliang Liu, Bo Han, et al.. (2021). Robust early-learning: Hindering the memorization of noisy labels. International Conference on Learning Representations. 66 indexed citations

16.

Ge, Zongyuan, et al.. (2021). Machine learning models for decision support in epilepsy management: A critical review. Epilepsy & Behavior. 123. 108273–108273. 21 indexed citations

17.

Cheng, Xuelian, Yiran Zhong, Mehrtash Harandi, et al.. (2020). Hierarchical Neural Architecture Search for Deep Stereo Matching. RMIT Research Repository (RMIT University Library). 33. 22158–22169. 15 indexed citations

18.

Zhang, Miao, Huiqi Li, Shirui Pan, et al.. (2020). Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. Monash University Research Portal (Monash University). 16 indexed citations

19.

Lei, Baiying, Feng Jiang, Xudong Jiang, et al.. (2020). Skin lesion segmentation via generative adversarial networks with dual discriminators. Medical Image Analysis. 64. 101716–101716. 193 indexed citations

20.

Ma, Mingyang, Shaohui Mei, Shuai Wan, et al.. (2020). Keyframe Extraction From Laparoscopic Videos via Diverse and Weighted Dictionary Selection. IEEE Journal of Biomedical and Health Informatics. 25(5). 1686–1698. 18 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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