Ding-Jie Chen

577 total citations
17 papers, 275 citations indexed

About

Ding-Jie Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ding-Jie Chen has authored 17 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Ding-Jie Chen's work include Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Vision and Imaging (4 papers). Ding-Jie Chen is often cited by papers focused on Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Vision and Imaging (4 papers). Ding-Jie Chen collaborates with scholars based in Taiwan, China and Luxembourg. Ding-Jie Chen's co-authors include Hwann-Tzong Chen, Tyng-Luh Liu, Long-Wen Chang, He‐Yen Hsieh, Yi‐Chen Lo, Suyun Zhao, Hong Chen, Chen Chen, Jun Pang and Weili Han and has published in prestigious journals such as Information Sciences, IEEE Transactions on Circuits and Systems for Video Technology and Journal of Visual Communication and Image Representation.

In The Last Decade

Ding-Jie Chen

17 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding-Jie Chen Taiwan 8 209 105 37 35 16 17 275
Iqbal Qasim Pakistan 11 281 1.3× 101 1.0× 91 2.5× 35 1.0× 15 0.9× 25 402
Alexander G. Chefranov Cyprus 9 130 0.6× 116 1.1× 25 0.7× 26 0.7× 10 0.6× 34 223
Saïd Najah Morocco 8 151 0.7× 76 0.7× 35 0.9× 19 0.5× 9 0.6× 26 293
Amin Golzari Oskouei Iran 10 155 0.7× 187 1.8× 39 1.1× 33 0.9× 36 2.3× 23 304
Po-Whei Huang Taiwan 6 278 1.3× 58 0.6× 26 0.7× 23 0.7× 34 2.1× 11 359
Guangyong Gao China 12 420 2.0× 83 0.8× 44 1.2× 45 1.3× 45 2.8× 44 520
Shide Du China 11 219 1.0× 231 2.2× 33 0.9× 14 0.4× 14 0.9× 28 345
Bei Li China 10 137 0.7× 136 1.3× 18 0.5× 18 0.5× 9 0.6× 29 264
S. Shivashankar India 8 171 0.8× 89 0.8× 67 1.8× 54 1.5× 21 1.3× 18 282
Mahbuba Begum Bangladesh 9 348 1.7× 91 0.9× 61 1.6× 22 0.6× 35 2.2× 18 426

Countries citing papers authored by Ding-Jie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ding-Jie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding-Jie Chen

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

All Works

17 of 17 papers shown
1.
Hsieh, He‐Yen, et al.. (2023). Aggregating Bilateral Attention for Few-Shot Instance Localization. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 6314–6323. 5 indexed citations
2.
Hsieh, He‐Yen, Ding-Jie Chen, & Tyng-Luh Liu. (2022). Contextual Proposal Network for Action Localization. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 766–775. 9 indexed citations
3.
Chen, Ding-Jie, et al.. (2021). Learning Unsupervised Metaformer for Anomaly Detection. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4349–4358. 2 indexed citations
4.
Chen, Ding-Jie, He‐Yen Hsieh, & Tyng-Luh Liu. (2021). Adaptive Image Transformer for One-Shot Object Detection. 12242–12251. 46 indexed citations
5.
Chen, Ding-Jie, He‐Yen Hsieh, & Tyng-Luh Liu. (2021). Referring Image Segmentation via Language-Driven Attention. 13997–14003. 3 indexed citations
6.
Wang, Kai, Jun Pang, Ding-Jie Chen, et al.. (2021). A Large-scale Empirical Analysis of Ransomware Activities in Bitcoin. ACM Transactions on the Web. 16(2). 1–29. 21 indexed citations
7.
Hsieh, He‐Yen, Ding-Jie Chen, & Tyng-Luh Liu. (2020). Temporal Action Proposal Generation Via Deep Feature Enhancement. 1391–1395. 1 indexed citations
8.
Chen, Ding-Jie, Hwann-Tzong Chen, & Long-Wen Chang. (2020). SwipeCut: Interactive Segmentation via Seed Grouping. IEEE Transactions on Circuits and Systems for Video Technology. 30(9). 2959–2970. 5 indexed citations
9.
Chen, Ding-Jie, et al.. (2019). See-Through-Text Grouping for Referring Image Segmentation. 7453–7462. 86 indexed citations
10.
Chen, Ding-Jie, et al.. (2019). Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8159–8166. 2 indexed citations
11.
Chen, Ding-Jie, et al.. (2018). Tap and Shoot Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 10 indexed citations
12.
Chen, Ding-Jie, Hwann-Tzong Chen, & Long-Wen Chang. (2018). Interactive 1-bit feedback segmentation using transductive inference. Machine Vision and Applications. 29(4). 617–631. 1 indexed citations
13.
Chen, Ding-Jie, Hwann-Tzong Chen, & Long-Wen Chang. (2018). Toward a unified scheme for fast interactive segmentation. Journal of Visual Communication and Image Representation. 55. 393–403. 4 indexed citations
14.
Chen, Ding-Jie, et al.. (2017). Detecting Nonexistent Pedestrians. 182–189. 3 indexed citations
15.
Chen, Ding-Jie, Hwann-Tzong Chen, & Long-Wen Chang. (2016). Fast defocus map estimation. 3962–3966. 22 indexed citations
16.
Zhao, Suyun, et al.. (2013). FARP: Mining fuzzy association rules from a probabilistic quantitative database. Information Sciences. 237. 242–260. 26 indexed citations
17.
Chen, Ding-Jie, Hwann-Tzong Chen, & Long-Wen Chang. (2012). Video object cosegmentation. 805–808. 29 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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