Chaoli Wang

3.1k total citations
129 papers, 2.1k citations indexed

About

Chaoli Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing. According to data from OpenAlex, Chaoli Wang has authored 129 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Computer Vision and Pattern Recognition, 47 papers in Computer Graphics and Computer-Aided Design and 19 papers in Signal Processing. Recurrent topics in Chaoli Wang's work include Data Visualization and Analytics (50 papers), Computer Graphics and Visualization Techniques (47 papers) and Advanced Vision and Imaging (27 papers). Chaoli Wang is often cited by papers focused on Data Visualization and Analytics (50 papers), Computer Graphics and Visualization Techniques (47 papers) and Advanced Vision and Imaging (27 papers). Chaoli Wang collaborates with scholars based in United States, China and Poland. Chaoli Wang's co-authors include Jun Han, Han‐Wei Shen, Hongfeng Yu, Jun Tao, Kwan‐Liu Ma, Ching-Kuang Shene, Danny Z. Chen, Kwan-Liu Ma, Yi Gu and Jun Ma and has published in prestigious journals such as Scientific Reports, Science Advances and IEEE Transactions on Smart Grid.

In The Last Decade

Chaoli Wang

121 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoli Wang United States 27 1.4k 722 313 294 230 129 2.1k
Penny Rheingans United States 25 1.2k 0.9× 742 1.0× 260 0.8× 201 0.7× 473 2.1× 76 1.9k
Hanqi Guo United States 19 812 0.6× 317 0.4× 295 0.9× 212 0.7× 106 0.5× 68 1.3k
Hans Hagen Germany 23 754 0.5× 511 0.7× 161 0.5× 164 0.6× 387 1.7× 124 1.6k
M. Eduard Gröller Austria 28 1.9k 1.4× 1.3k 1.7× 235 0.8× 224 0.8× 600 2.6× 123 2.5k
Helmut Doleisch Austria 20 1.1k 0.8× 734 1.0× 229 0.7× 297 1.0× 291 1.3× 31 1.5k
Sameer Agarwal United States 20 2.5k 1.8× 466 0.6× 431 1.4× 139 0.5× 317 1.4× 35 3.6k
Xiaoru Yuan China 29 2.2k 1.6× 401 0.6× 636 2.0× 689 2.3× 124 0.5× 141 2.9k
Craig M. Wittenbrink United States 14 725 0.5× 402 0.6× 196 0.6× 185 0.6× 173 0.8× 47 1.2k
Ken Brodlie United Kingdom 22 682 0.5× 363 0.5× 185 0.6× 129 0.4× 363 1.6× 93 1.5k
Leila De Floriani Italy 26 1.1k 0.8× 1.2k 1.7× 90 0.3× 429 1.5× 661 2.9× 176 2.6k

Countries citing papers authored by Chaoli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoli Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoli Wang. A scholar is included among the top collaborators of Chaoli 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 Chaoli Wang. Chaoli Wang 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.
Wang, Chaoli, et al.. (2025). NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting. IEEE Transactions on Visualization and Computer Graphics. 32(1). 46–56. 1 indexed citations
2.
Wang, Chaoli, et al.. (2025). TopoImages: Incorporating Local Topology Encoding into Deep Learning Models for Medical Image Classification. ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley). 1938–1947.
3.
Hu, Ming, et al.. (2025). Automating embodied and operational carbon assessment in urban sustainable development. Automation in Construction. 176. 106245–106245. 7 indexed citations
4.
Liu, Hongying, Chaowei Fang, Fanhua Shang, et al.. (2024). A single frame and multi-frame joint network for 360-degree panorama video super-resolution. Engineering Applications of Artificial Intelligence. 134. 108601–108601. 5 indexed citations
5.
Han, Jun, et al.. (2024). VolumeVisual: Design and Evaluation of an Educational Software Tool for Teaching and Learning Volume Visualization. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
6.
Hu, Ming, et al.. (2024). Micro-Urban Heatmapping: A Multi-Modal and Multi-Temporal Data Collection Framework. Buildings. 14(9). 2751–2751. 6 indexed citations
7.
8.
Han, Jun, et al.. (2023). GMT: A deep learning approach to generalized multivariate translation for scientific data analysis and visualization. Computers & Graphics. 112. 92–104. 7 indexed citations
9.
Han, Jun & Chaoli Wang. (2022). SurfNet: Learning Surface Representations via Graph Convolutional Network. Computer Graphics Forum. 41(3). 109–120. 4 indexed citations
10.
Han, Jun & Chaoli Wang. (2022). CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network. IEEE Transactions on Visualization and Computer Graphics. 29(12). 4951–4963. 33 indexed citations
11.
Wang, Chaoli & Jun Han. (2022). DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization. IEEE Transactions on Visualization and Computer Graphics. 29(8). 3714–3733. 39 indexed citations
12.
Han, Jun, et al.. (2021). Reconstructing Unsteady Flow Data From Representative Streamlines via Diffusion and Deep-Learning-Based Denoising. IEEE Computer Graphics and Applications. 41(6). 111–121. 23 indexed citations
13.
Shi, Lei, Qi Liao, Hanghang Tong, et al.. (2020). OnionGraph: Hierarchical topology+attribute multivariate network visualization. Visual Informatics. 4(1). 43–57. 7 indexed citations
14.
Guo, Li, Jun Han, Hao Zheng, et al.. (2020). SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 71–80. 42 indexed citations
15.
Zheng, Hao, Yizhe Zhang, Lin Yang, Chaoli Wang, & Danny Z. Chen. (2020). An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6925–6932. 35 indexed citations
16.
Huang, Yucheng, Lei Shi, Yue Su, et al.. (2019). Eiffel: Evolutionary Flow Map for Influence Graph Visualization. IEEE Transactions on Visualization and Computer Graphics. 26(10). 2944–2960. 4 indexed citations
17.
Carr, Steve, et al.. (2012). DTEvisual: a visualization system for teaching access control using Domain Type Enforcement. Journal of computing sciences in colleges. 28(1). 125–132. 3 indexed citations
18.
Tao, Jun, Jun Ma, Chaoli Wang, & Ching-Kuang Shene. (2012). A Unified Approach to Streamline Selection and Viewpoint Selection for 3D Flow Visualization. IEEE Transactions on Visualization and Computer Graphics. 19(3). 393–406. 58 indexed citations
19.
Wang, Chaoli & Han‐Wei Shen. (2006). LOD Map - A Visual Interface for Navigating Multiresolution Volume Visualization. IEEE Transactions on Visualization and Computer Graphics. 12(5). 1029–1036. 25 indexed citations
20.
Wang, Chaoli, Jinzhu Gao, & Han‐Wei Shen. (2004). Parallel multiresolution volume rendering of large data sets with error-guided load balancing. 23–30. 22 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 Penny Rheingans Breakdown of academic impact, for papers by Hanqi Guo Breakdown of academic impact, for papers by Hans Hagen Breakdown of academic impact, for papers by M. Eduard Gröller Breakdown of academic impact, for papers by Helmut Doleisch Breakdown of academic impact, for papers by Sameer Agarwal Breakdown of academic impact, for papers by Xiaoru Yuan Breakdown of academic impact, for papers by Craig M. Wittenbrink Breakdown of academic impact, for papers by Ken Brodlie Breakdown of academic impact, for papers by Leila De Floriani
Rankless by CCL
2026