Shangling Jui

1.0k total citations
23 papers, 467 citations indexed

About

Shangling Jui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Shangling Jui has authored 23 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Shangling Jui's work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Advanced Image Fusion Techniques (4 papers). Shangling Jui is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (6 papers) and Advanced Image Fusion Techniques (4 papers). Shangling Jui collaborates with scholars based in China, Canada and Spain. Shangling Jui's co-authors include Luis Herranz, Joost van de Weijer, Xialei Liu, Kai Wang, Yongmei Cheng, Bartłomiej Twardowski, Lu Yu, Chenshen Wu, Bogdan Raducanu and Andrew D. Bagdanov and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Shangling Jui

23 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangling Jui China 8 348 282 38 30 29 23 467
Shunfeng Zhou China 4 216 0.6× 270 1.0× 10 0.3× 17 0.6× 21 0.7× 6 392
Baoyun Peng China 4 264 0.8× 308 1.1× 11 0.3× 19 0.6× 25 0.9× 8 445
Meng Pang China 11 135 0.4× 181 0.6× 6 0.2× 17 0.6× 77 2.7× 38 404
Md Zakir Hossain Australia 3 229 0.7× 410 1.5× 7 0.2× 19 0.6× 22 0.8× 4 538
Haoli Bai China 10 229 0.7× 163 0.6× 9 0.2× 10 0.3× 18 0.6× 26 334
Soham Chattopadhyay India 10 245 0.7× 113 0.4× 35 0.9× 126 4.2× 30 1.0× 13 367
Suvendu Rup India 9 177 0.5× 162 0.6× 45 1.2× 85 2.8× 18 0.6× 33 313
Puji Anto Indonesia 8 182 0.5× 181 0.6× 115 3.0× 12 0.4× 26 0.9× 31 371
Balajee Maram India 9 109 0.3× 108 0.4× 78 2.1× 78 2.6× 25 0.9× 65 334

Countries citing papers authored by Shangling Jui

Since Specialization
Citations

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

Fields of papers citing papers by Shangling Jui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangling Jui

This figure shows the co-authorship network connecting the top 25 collaborators of Shangling Jui. A scholar is included among the top collaborators of Shangling Jui 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 Shangling Jui. Shangling Jui 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.
Zhang, Zhichao, Wei Sun, Xinyue Li, et al.. (2025). Benchmarking Multi-dimensional AIGC Video Quality Assessment: A Dataset and Unified Model. ACM Transactions on Multimedia Computing Communications and Applications. 21(9). 1–24. 4 indexed citations
2.
Zhang, Zhichao, Wei Sun, Xinyue Li, et al.. (2025). Human-Activity AGV Quality Assessment: A Benchmark Dataset and an Objective Evaluation Metric. 6771–6780. 3 indexed citations
3.
Zhang, Zicheng, Haoning Wu, Chunyi Li, et al.. (2024). Q-Boost: On Visual Quality Assessment Ability of Low-Level Multi-Modality Foundation Models. 1–6. 9 indexed citations
4.
Yang, Shiqi, et al.. (2023). Casting a BAIT for offline and online source-free domain adaptation. Computer Vision and Image Understanding. 234. 103747–103747. 25 indexed citations
5.
Wang, Yaxing, Abel González-García, Chenshen Wu, et al.. (2023). MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains. International Journal of Computer Vision. 132(2). 490–514. 2 indexed citations
6.
Yang, Shiqi, et al.. (2023). Trust Your Good Friends: Source-Free Domain Adaptation by Reciprocal Neighborhood Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15883–15895. 9 indexed citations
7.
Zhang, Jialin, et al.. (2023). GENNAPE: Towards Generalized Neural Architecture Performance Estimators. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9190–9199. 4 indexed citations
8.
Niu, Di, et al.. (2023). AIO-P: Expanding Neural Performance Predictors beyond Image Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9180–9189. 2 indexed citations
9.
Yang, Shiqi, et al.. (2022). Casting a Bait for Offline and Online Source-Free Domain Adaptation. SSRN Electronic Journal. 2 indexed citations
10.
Wang, Yafei, Wei Tu, Peng Liu, et al.. (2022). Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability. Proceedings of the AAAI Conference on Artificial Intelligence. 36(4). 3859–3867. 2 indexed citations
11.
12.
Gao, Chao, et al.. (2021). Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning. 24. 273–278. 1 indexed citations
13.
Xu, Yixing, Yunhe Wang, Kai Han, et al.. (2021). ReNAS: Relativistic Evaluation of Neural Architecture Search. 4409–4418. 52 indexed citations
14.
Sun, Ke, Yafei Wang, Yi Liu, et al.. (2021). Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization. arXiv (Cornell University). 34. 1 indexed citations
15.
Salameh, Mohammad, et al.. (2020). Neural Architecture Search for Keyword Spotting. arXiv (Cornell University). 1982–1986. 30 indexed citations
16.
Yu, Lu, Bartłomiej Twardowski, Xialei Liu, et al.. (2020). Semantic Drift Compensation for Class-Incremental Learning. 6980–6989. 183 indexed citations
17.
Liu, Xialei, Chenshen Wu, Luis Herranz, et al.. (2020). Generative Feature Replay For Class-Incremental Learning. Florence Research (University of Florence). 915–924. 67 indexed citations
18.
Jui, Shangling, et al.. (2015). Brain MRI Tumor Segmentation with 3D Intracranial Structure Deformation Features. IEEE Intelligent Systems. 31(2). 66–76. 38 indexed citations
19.
Jui, Shangling, et al.. (2015). Dynamic Incorporation ofWavelet Filter in Fuzzy C-Means for Efficient and Noise-Insensitive MR Image Segmentation. International Journal of Computational Intelligence Systems. 8(5). 796–796. 6 indexed citations
20.
Jui, Shangling, et al.. (2014). Fuzzy c-means with wavelet filtration for MR image segmentation. 12–16. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shunfeng Zhou Breakdown of academic impact, for papers by Baoyun Peng Breakdown of academic impact, for papers by Meng Pang Breakdown of academic impact, for papers by Md Zakir Hossain Breakdown of academic impact, for papers by Haoli Bai Breakdown of academic impact, for papers by Soham Chattopadhyay Breakdown of academic impact, for papers by Suvendu Rup Breakdown of academic impact, for papers by Puji Anto Breakdown of academic impact, for papers by Balajee Maram
Rankless by CCL
2026