Chaotao Ding

430 total citations · 1 hit paper
8 papers, 174 citations indexed

About

Chaotao Ding is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chaotao Ding has authored 8 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chaotao Ding's work include 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (3 papers) and Advanced Vision and Imaging (2 papers). Chaotao Ding is often cited by papers focused on 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (3 papers) and Advanced Vision and Imaging (2 papers). Chaotao Ding collaborates with scholars based in China and Singapore. Chaotao Ding's co-authors include Ying Zang, Tianrun Chen, Lanyun Zhu, Zejian Li, Shangzhan Zhang, Yan Wang, Lingyun Sun, Lingyun Sun, Wenjun Hu and Qingshan Liu and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Multimedia and Signal Image and Video Processing.

In The Last Decade

Chaotao Ding

7 papers receiving 172 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SAM-Adapter: Adapting Segment Anything in Underperformed Scenes

2023 142 citations Tianrun Chen, Lanyun Zhu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chaotao Ding China	5	105	26	21	17	16	8	174
Shangzhan Zhang China	4	164 1.6×	31 1.2×	14 0.7×	18 1.1×	28 1.8×	9	240
Dong Shen China	3	135 1.3×	57 2.2×	27 1.3×	15 0.9×	10 0.6×	6	213
Sean I. Young United States	8	103 1.0×	25 1.0×	25 1.2×	16 0.9×	6 0.4×	21	188
Zelin Peng China	8	144 1.4×	84 3.2×	62 3.0×	19 1.1×	19 1.2×	17	218
Hezheng Lin China	5	95 0.9×	64 2.5×	23 1.1×	40 2.4×	12 0.8×	8	202
Jia Xue United States	6	220 2.1×	56 2.2×	31 1.5×	20 1.2×	29 1.8×	12	326
Jean Pierre Cocquerez France	7	188 1.8×	19 0.7×	47 2.2×	13 0.8×	27 1.7×	22	250
Yuanfeng Ji China	5	161 1.5×	51 2.0×	41 2.0×	15 0.9×	8 0.5×	6	210
Sébastien Chabrier France	9	178 1.7×	31 1.2×	73 3.5×	17 1.0×	16 1.0×	21	260
Kangfu Mei United States	6	202 1.9×	26 1.0×	86 4.1×	11 0.6×	14 0.9×	12	244

Countries citing papers authored by Chaotao Ding

Since Specialization

Citations

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

Fields of papers citing papers by Chaotao Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaotao Ding

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Zang, Ying, et al.. (2025). Magic3DSketch: Create colorful 3D models from sketch-based 3D modeling guided by text and language-image pre-training. Neurocomputing. 661. 131925–131925.

2.

Chen, Tianrun, Chaotao Ding, Lanyun Zhu, et al.. (2024). xLSTM-UNet can be an Effective Backbone for 2D & 3D Biomedical Image Segmentation Better than its Mamba Counterparts. 1–8. 6 indexed citations

3.

Chen, Tianrun, Chaotao Ding, Shangzhan Zhang, et al.. (2024). Rapid 3D Model Generation with Intuitive 3D Input. 12554–12564. 4 indexed citations

4.

Zang, Ying, et al.. (2023). Transformer fusion and histogram layer multispectral pedestrian detection network. Signal Image and Video Processing. 17(7). 3545–3553. 5 indexed citations

5.

Zang, Ying, et al.. (2023). Deep3DSketch+\+: High-Fidelity 3D Modeling from Single Free-hand Sketches. 1537–1542. 5 indexed citations

6.

Chen, Tianrun, Chaotao Ding, Lanyun Zhu, et al.. (2023). Reality3DSketch: Rapid 3D Modeling of Objects From Single Freehand Sketches. IEEE Transactions on Multimedia. 26. 4859–4870. 8 indexed citations

7.

Chen, Tianrun, Lanyun Zhu, Chaotao Ding, et al.. (2023). SAM-Adapter: Adapting Segment Anything in Underperformed Scenes. 3359–3367. 142 indexed citations breakdown →

8.

Zang, Ying, et al.. (2022). HRANet: histogram-residual-attention network used to measure neatness of toy placement. Signal Image and Video Processing. 17(2). 295–303. 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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