Shancheng Jiang

598 total citations
24 papers, 388 citations indexed

About

Shancheng Jiang is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shancheng Jiang has authored 24 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Control and Systems Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shancheng Jiang's work include AI in cancer detection (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Energy Load and Power Forecasting (3 papers). Shancheng Jiang is often cited by papers focused on AI in cancer detection (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Energy Load and Power Forecasting (3 papers). Shancheng Jiang collaborates with scholars based in China, Hong Kong and Taiwan. Shancheng Jiang's co-authors include Kwai‐Sang Chin, Kwok‐Leung Tsui, Long Wang, Zhi Jin, Gang Qu, Gang Qu, Chao Huang, Beichen Ding, Mingxin Li and Ming Gao and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Shancheng Jiang

23 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shancheng Jiang China 10 183 57 57 40 37 24 388
Smaranda Belciug Romania 14 202 1.1× 57 1.0× 18 0.3× 27 0.7× 15 0.4× 40 450
Karl Øyvind Mikalsen Norway 11 285 1.6× 65 1.1× 18 0.3× 19 0.5× 22 0.6× 21 441
Han Yuan Singapore 14 206 1.1× 29 0.5× 17 0.3× 17 0.4× 74 2.0× 55 626
Michael Lingzhi Li United States 10 90 0.5× 10 0.2× 33 0.6× 27 0.7× 18 0.5× 31 445
Rajasvaran Logeswaran Malaysia 12 150 0.8× 125 2.2× 31 0.5× 33 0.8× 44 1.2× 70 440
Holly Wiberg United States 9 169 0.9× 12 0.2× 48 0.8× 14 0.3× 14 0.4× 11 474
Rahul Sharma United States 15 155 0.8× 158 2.8× 22 0.4× 18 0.5× 24 0.6× 66 660
Yih-Lon Lin Taiwan 12 123 0.7× 92 1.6× 18 0.3× 8 0.2× 20 0.5× 33 346
Bo Thiesson Denmark 11 458 2.5× 42 0.7× 9 0.2× 35 0.9× 22 0.6× 38 726

Countries citing papers authored by Shancheng Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shancheng Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shancheng Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shancheng Jiang. A scholar is included among the top collaborators of Shancheng Jiang 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 Shancheng Jiang. Shancheng Jiang 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.
Qu, Juntian, et al.. (2025). UIEFormer: Lightweight Vision Transformer for Underwater Image Enhancement. IEEE Journal of Oceanic Engineering. 50(2). 851–865. 3 indexed citations
2.
Jiang, Shancheng, et al.. (2024). Adaptive Perturbation-Driven Adversarial Training. 993–997. 2 indexed citations
3.
Jiang, Shancheng, et al.. (2024). A prior knowledge-guided distributionally robust optimization-based adversarial training strategy for medical image classification. Information Sciences. 673. 120705–120705. 2 indexed citations
4.
Jiang, Shancheng, et al.. (2024). A distributionally robust optimization approach for the potassium fertilizer product transportation considering transshipment through crossdocks. Computers & Operations Research. 171. 106788–106788. 2 indexed citations
5.
Zhang, Xing, et al.. (2023). A diagnostic report supervised deep learning model training strategy for diagnosis of COVID-19. Pattern Recognition. 149. 110232–110232. 7 indexed citations
6.
7.
Xiang, Kun, et al.. (2023). Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2928–2937. 3 indexed citations
8.
Zhou, Xiaoting, et al.. (2023). A robust deep reinforcement learning approach to driverless taxi dispatching under uncertain demand. Information Sciences. 646. 119401–119401. 12 indexed citations
9.
Gao, Ming, et al.. (2022). Multi-objective auto-scaling scheduling for micro-service workflows in hybrid clouds. Enterprise Information Systems. 17(7). 1 indexed citations
10.
Jiang, Shancheng, et al.. (2022). A systematic review of the modelling of patient arrivals in emergency departments. Quantitative Imaging in Medicine and Surgery. 13(3). 1957–1971. 12 indexed citations
11.
Wang, Yalin, Yuqing Pan, Kai Wang, Chenliang Liu, & Shancheng Jiang. (2022). GraphSAGE-LSTM-based deep canonical correlation analysis for batch process monitoring. 188–193. 3 indexed citations
12.
Jiang, Shancheng, et al.. (2022). Automated Detection of Multitype Landforms on Mars Using a Light-Weight Deep Learning-Based Detector. IEEE Transactions on Aerospace and Electronic Systems. 58(6). 5015–5029. 8 indexed citations
13.
Li, Mingxin, et al.. (2021). AGNet: Automatic generation network for skin imaging reports. Computers in Biology and Medicine. 141. 105037–105037. 10 indexed citations
14.
Jiang, Shancheng, et al.. (2021). A Visually Interpretable Deep Learning Framework for Histopathological Image-Based Skin Cancer Diagnosis. IEEE Journal of Biomedical and Health Informatics. 25(5). 1483–1494. 73 indexed citations
15.
Jiang, Shancheng, et al.. (2021). A robust end-to-end deep learning framework for detecting Martian landforms with arbitrary orientations. Knowledge-Based Systems. 234. 107562–107562. 5 indexed citations
16.
Li, Mingxin, et al.. (2021). A novel weight pruning strategy for light weight neural networks with application to the diagnosis of skin disease. Applied Soft Computing. 111. 107707–107707. 19 indexed citations
17.
Deng, Leping, et al.. (2020). Artificial Intelligence-Based Application to Explore Inhibitors of Neurodegenerative Diseases. Frontiers in Neurorobotics. 14. 617327–617327. 11 indexed citations
18.
Yung, Kai Leung, et al.. (2020). Colored Petri Net-Based Verification and Improvement of Time-Sensitive Single-Unit Manufacturing for the Soil Preparation Instrument of Space Missions. Discrete Dynamics in Nature and Society. 2020. 1–18. 2 indexed citations
19.
Jiang, Shancheng, Kwai‐Sang Chin, Gang Qu, & Kwok‐Leung Tsui. (2018). An integrated machine learning framework for hospital readmission prediction. Knowledge-Based Systems. 146. 73–90. 41 indexed citations
20.
Jiang, Shancheng, Kwai‐Sang Chin, & Kwok‐Leung Tsui. (2017). A universal deep learning approach for modeling the flow of patients under different severities. Computer Methods and Programs in Biomedicine. 154. 191–203. 28 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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Breakdown of academic impact, for papers by Smaranda Belciug Breakdown of academic impact, for papers by Karl Øyvind Mikalsen Breakdown of academic impact, for papers by Han Yuan Breakdown of academic impact, for papers by Michael Lingzhi Li Breakdown of academic impact, for papers by Rajasvaran Logeswaran Breakdown of academic impact, for papers by Holly Wiberg Breakdown of academic impact, for papers by Rahul Sharma Breakdown of academic impact, for papers by Yih-Lon Lin Breakdown of academic impact, for papers by Bo Thiesson
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