Kuan-Chieh Wang

1.5k total citations
15 papers, 311 citations indexed

About

Kuan-Chieh Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kuan-Chieh Wang has authored 15 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Kuan-Chieh Wang's work include Generative Adversarial Networks and Image Synthesis (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Kuan-Chieh Wang is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Adversarial Robustness in Machine Learning (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Kuan-Chieh Wang collaborates with scholars based in Canada, Taiwan and United States. Kuan-Chieh Wang's co-authors include Richard S. Zemel, Ethan Fetaya, Thomas Kipf, Max Welling, Serena Yeung, Jixuan Wang, Marc T. Law, Frank Rudzicz, Michael Brudno and Orr Zohar and has published in prestigious journals such as ACS Applied Materials & Interfaces, IEEE Transactions on Circuits and Systems for Video Technology and Materials Today Energy.

In The Last Decade

Kuan-Chieh Wang

14 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuan-Chieh Wang Canada 7 160 131 62 48 36 15 311
Denghui Zhang China 9 65 0.4× 72 0.5× 25 0.4× 64 1.3× 15 0.4× 37 255
Yong Xiang China 9 65 0.4× 40 0.3× 181 2.9× 41 0.9× 24 0.7× 27 392
Fereshteh Falah Chamasemani Austria 9 37 0.2× 78 0.6× 23 0.4× 34 0.7× 78 2.2× 22 268
Huanxi Liu China 6 61 0.4× 150 1.1× 16 0.3× 5 0.1× 26 0.7× 20 323
Jiaqi Tang China 12 102 0.6× 138 1.1× 6 0.1× 49 1.0× 112 3.1× 22 398
Tirupathiraju Kanumuri India 12 95 0.6× 77 0.6× 81 1.3× 26 0.5× 335 9.3× 53 515
Zhipeng Fan China 10 54 0.3× 151 1.2× 22 0.4× 27 0.6× 69 1.9× 30 308
Xingyu Liu China 11 49 0.3× 98 0.7× 33 0.5× 10 0.2× 61 1.7× 37 272
Shuai Bai China 9 208 1.3× 309 2.4× 9 0.1× 39 0.8× 73 2.0× 19 439
Shenlong Wang Canada 6 39 0.2× 155 1.2× 15 0.2× 18 0.4× 203 5.6× 6 476

Countries citing papers authored by Kuan-Chieh Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kuan-Chieh Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan-Chieh Wang. 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 Kuan-Chieh Wang. The network helps show where Kuan-Chieh Wang may publish in the future.

Co-authorship network of co-authors of Kuan-Chieh Wang

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

All Works

15 of 15 papers shown
1.
Fang, Yuwei, Willi Menapace, Aliaksandr Siarohin, et al.. (2024). VIMI: Grounding Video Generation through Multi-modal Instruction. 4444–4456.
2.
Hsiao, Yi-Chun, et al.. (2023). Stretchable polyvinyl alcohol and sodium alginate double network ionic hydrogels for low-grade heat harvesting with ultrahigh thermopower. Materials Today Energy. 37. 101383–101383. 38 indexed citations
3.
Zohar, Orr, Kuan-Chieh Wang, & Serena Yeung. (2023). PROB: Probabilistic Objectness for Open World Object Detection. 11444–11453. 40 indexed citations
4.
Wang, Kuan-Chieh, et al.. (2023). Tunable Thermoelectric Performance of the Nanocomposites Formed by Diketopyrrolopyrrole/Isoindigo-Based Donor–Acceptor Random Conjugated Copolymers and Carbon Nanotubes. ACS Applied Materials & Interfaces. 15(48). 56116–56126. 9 indexed citations
5.
Wang, Kuan-Chieh, et al.. (2023). NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action. 22129–22138. 4 indexed citations
6.
Grathwohl, Will, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, & Richard S. Zemel. (2020). Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling. International Conference on Machine Learning. 1. 3732–3747. 3 indexed citations
7.
Grathwohl, Will, Kuan-Chieh Wang, Jörn-Henrik Jacobsen, David Duvenaud, & Richard S. Zemel. (2020). Cutting out the Middle-Man: Training and Evaluating Energy-Based Models without Sampling. arXiv (Cornell University). 1 indexed citations
8.
Behrmann, Jens, Paul Vicol, Kuan-Chieh Wang, Roger Grosse, & Jörn-Henrik Jacobsen. (2019). On the Invertibility of Invertible Neural Networks. 1 indexed citations
9.
Wang, Kuan-Chieh, et al.. (2019). Out-of-distribution Detection in Few-shot Classification. 2 indexed citations
10.
Wang, Jixuan, Kuan-Chieh Wang, Marc T. Law, Frank Rudzicz, & Michael Brudno. (2019). Centroid-based Deep Metric Learning for Speaker Recognition. 3652–3656. 68 indexed citations
11.
Wang, Kuan-Chieh, et al.. (2018). Ultra-Low Complexity Block-Based Lane Detection and Departure Warning System. IEEE Transactions on Circuits and Systems for Video Technology. 29(2). 582–593. 30 indexed citations
12.
Wang, Kuan-Chieh, Paul Vicol, James Lucas, et al.. (2018). Adversarial Distillation of Bayesian Neural Network Posteriors. International Conference on Machine Learning. 5190–5199. 3 indexed citations
13.
Kipf, Thomas, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, & Richard S. Zemel. (2018). Neural Relational Inference for Interacting Systems. UvA-DARE (University of Amsterdam). 80. 2688–2697. 92 indexed citations
14.
Li, Yujia, Alexander G. Schwing, Kuan-Chieh Wang, & Richard S. Zemel. (2017). Dualing GANs. Neural Information Processing Systems. 30. 5606–5616. 5 indexed citations
15.

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 Denghui Zhang Breakdown of academic impact, for papers by Yong Xiang Breakdown of academic impact, for papers by Fereshteh Falah Chamasemani Breakdown of academic impact, for papers by Huanxi Liu Breakdown of academic impact, for papers by Jiaqi Tang Breakdown of academic impact, for papers by Tirupathiraju Kanumuri Breakdown of academic impact, for papers by Zhipeng Fan Breakdown of academic impact, for papers by Xingyu Liu Breakdown of academic impact, for papers by Shuai Bai Breakdown of academic impact, for papers by Shenlong Wang
Rankless by CCL
2026