Pan Su

1.1k total citations · 1 hit paper
29 papers, 620 citations indexed

About

Pan Su is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Pan Su has authored 29 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Ophthalmology. Recurrent topics in Pan Su's work include Fuzzy Logic and Control Systems (7 papers), Retinal Imaging and Analysis (6 papers) and Corneal surgery and disorders (5 papers). Pan Su is often cited by papers focused on Fuzzy Logic and Control Systems (7 papers), Retinal Imaging and Analysis (6 papers) and Corneal surgery and disorders (5 papers). Pan Su collaborates with scholars based in China, United Kingdom and United States. Pan Su's co-authors include Tianhua Chen, Yitian Zhao, Qiang Shen, Changjing Shang, Jiang Liu, Yalin Zheng, Yonghuai Liu, Jun Cheng, Lei Mou and Alejandro F. Frangi and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Pan Su

29 papers receiving 609 citations

Hit Papers

CS 2 -Net: Deep learning segmentation of curvilinear... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Su China 13 287 178 171 145 69 29 620
Meenakshi Sood India 13 219 0.8× 82 0.5× 220 1.3× 121 0.8× 58 0.8× 65 572
Ali Mottaghi United States 4 229 0.8× 235 1.3× 173 1.0× 16 0.1× 92 1.3× 5 743
Ali Mohammad Alqudah Jordan 21 415 1.4× 418 2.3× 242 1.4× 79 0.5× 129 1.9× 64 1.2k
J. Dinesh Peter India 18 316 1.1× 319 1.8× 272 1.6× 86 0.6× 40 0.6× 66 821
Leandro A. Passos Brazil 15 142 0.5× 211 1.2× 229 1.3× 54 0.4× 73 1.1× 48 666
Nina Zhou United States 11 120 0.4× 121 0.7× 70 0.4× 97 0.7× 24 0.3× 34 533
Bülent Yılmaz Türkiye 15 227 0.8× 139 0.8× 74 0.4× 23 0.2× 153 2.2× 71 804
Francesco Calimeri Italy 15 133 0.5× 382 2.1× 74 0.4× 38 0.3× 48 0.7× 71 653
Qi Yu China 9 236 0.8× 114 0.6× 247 1.4× 174 1.2× 18 0.3× 20 568
Fatma Taher United Arab Emirates 21 483 1.7× 464 2.6× 297 1.7× 45 0.3× 111 1.6× 110 1.3k

Countries citing papers authored by Pan Su

Since Specialization
Citations

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

Fields of papers citing papers by Pan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Su. A scholar is included among the top collaborators of Pan Su 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 Pan Su. Pan Su 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.
Zhao, Zhenbing, et al.. (2023). Dual Graph Reasoning Network for Oil Leakage Segmentation in Substation Equipment. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 2 indexed citations
2.
Chen, Tianhua, Pan Su, Yinghua Shen, et al.. (2022). A dominant set-informed interpretable fuzzy system for automated diagnosis of dementia. Frontiers in Neuroscience. 16. 867664–867664. 20 indexed citations
3.
Hussain, Muhammad, et al.. (2022). A Gradient Guided Architecture Coupled With Filter Fused Representations for Micro-Crack Detection in Photovoltaic Cell Surfaces. IEEE Access. 10. 58950–58964. 17 indexed citations
4.
Mou, Lei, Hong Qi, Yonghuai Liu, et al.. (2022). DeepGrading: Deep Learning Grading of Corneal Nerve Tortuosity. IEEE Transactions on Medical Imaging. 41(8). 2079–2091. 10 indexed citations
5.
Chen, Tianhua, Grigoris Antoniou, Marios Adamou, Ilias Tachmazidis, & Pan Su. (2021). Automatic Diagnosis of Attention Deficit Hyperactivity Disorder Using Machine Learning. Applied Artificial Intelligence. 35(9). 657–669. 18 indexed citations
6.
Su, Pan, et al.. (2021). Learning from Human Uncertainty by Choquet Integral for Optic Disc Segmentation. 7–12. 2 indexed citations
7.
Mou, Lei, Yitian Zhao, Huazhu Fu, et al.. (2020). CS 2 -Net: Deep learning segmentation of curvilinear structures in medical imaging. Medical Image Analysis. 67. 101874–101874. 240 indexed citations breakdown →
8.
Chen, Tianhua, Changjing Shang, Pan Su, et al.. (2020). A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support. Artificial Intelligence in Medicine. 111. 101986–101986. 44 indexed citations
9.
Zhao, Yitian, Jiong Zhang, Ella Pereira, et al.. (2020). Corrections to “Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy”. IEEE Transactions on Medical Imaging. 39(11). 3758–3758. 2 indexed citations
10.
Zhao, Yitian, Yonghuai Liu, Jianyang Xie, et al.. (2019). Retinal Vascular Network Topology Reconstruction and Artery/Vein Classification via Dominant Set Clustering. IEEE Transactions on Medical Imaging. 39(2). 341–356. 41 indexed citations
11.
Zhang, Chao, et al.. (2019). A Footprint Extraction and Recognition Algorithm Based on Plantar Pressure. Traitement du signal. 36(5). 419–424. 10 indexed citations
12.
Chen, Tianhua, et al.. (2019). Sentiment Classification of Drug Reviews Using Fuzzy-rough Feature Selection. Huddersfield Research Portal (University of Huddersfield). 1–6. 15 indexed citations
13.
Wang, Hongmei, et al.. (2018). Fuzzy Clustering based Anomaly Detection for Distributed Multi-view Data. Huddersfield Research Portal (University of Huddersfield). 1–7. 2 indexed citations
14.
Chen, Tianhua, Pan Su, Changjing Shang, & Qiang Shen. (2018). Weighted Fuzzy Rules Optimised by Particle Swarm for Network Intrusion Detection. Huddersfield Research Portal (University of Huddersfield). 1–7. 4 indexed citations
15.
Xie, Jianyang, Yitian Zhao, Yalin Zheng, et al.. (2018). Retinal vascular topology estimation via dominant sets clustering. 10. 1458–1462. 3 indexed citations
16.
Chen, Tianhua, Pan Su, Changjing Shang, & Qiang Shen. (2017). Reliability-guided fuzzy classifier ensemble. 10. 1–6. 2 indexed citations
17.
Su, Pan, Changjing Shang, Yitian Zhao, Tianhua Chen, & Qiang Shen. (2017). Fuzzy rough feature selection based on OWA aggregation of fuzzy relations. 1–6. 2 indexed citations
18.
Zhao, Yitian, Pan Su, Jian Yang, et al.. (2016). A compactness based saliency approach for leakages detection in fluorescein angiogram. International Journal of Machine Learning and Cybernetics. 8(6). 1971–1979. 2 indexed citations
19.
Chen, Tianhua, Qiang Shen, Pan Su, & Changjing Shang. (2015). Induction of quantified fuzzy rules with Particle Swarm Optimisation. 1–7. 2 indexed citations
20.
Chen, Tianhua, Qiang Shen, Pan Su, & Changjing Shang. (2014). Refinement of fuzzy rule weights with particle swarm optimisation. 1–7. 4 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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