Chun-Ru Dong

824 total citations
31 papers, 644 citations indexed

About

Chun-Ru Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Chun-Ru Dong has authored 31 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Chun-Ru Dong's work include Neural Networks and Applications (8 papers), Fuzzy Logic and Control Systems (7 papers) and Face and Expression Recognition (6 papers). Chun-Ru Dong is often cited by papers focused on Neural Networks and Applications (8 papers), Fuzzy Logic and Control Systems (7 papers) and Face and Expression Recognition (6 papers). Chun-Ru Dong collaborates with scholars based in China, Malaysia and Australia. Chun-Ru Dong's co-authors include Xizhao Wang, Qiang Hua, Witold Pedrycz, Yan Li, Hong-Jie Xing, Hongxia Zhang, Yuan Fang, Lai‐Sheng Wang, Chee Peng Lim and Xicheng Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Information Sciences.

In The Last Decade

Chun-Ru Dong

26 papers receiving 614 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chun-Ru Dong China	8	394	164	137	101	99	31	644
Bernhard Moser Austria	13	353 0.9×	119 0.7×	172 1.3×	58 0.6×	88 0.9×	58	672
Hong-Jie Xing China	13	391 1.0×	169 1.0×	79 0.6×	56 0.6×	62 0.6×	42	640
Patrick Maupin Canada	12	470 1.2×	129 0.8×	93 0.7×	62 0.6×	134 1.4×	36	705
Ren Diao United Kingdom	16	527 1.3×	124 0.8×	156 1.1×	130 1.3×	74 0.7×	25	699
Xingchen Hu China	16	312 0.8×	92 0.6×	175 1.3×	80 0.8×	59 0.6×	41	516
Akira Notsu Japan	11	374 0.9×	217 1.3×	67 0.5×	120 1.2×	43 0.4×	150	637
Lungan Zhang China	9	680 1.7×	133 0.8×	113 0.8×	234 2.3×	45 0.5×	10	892
Dan E. Tamir United States	14	267 0.7×	67 0.4×	103 0.8×	60 0.6×	246 2.5×	56	611
Saratha Sathasivam Malaysia	17	688 1.7×	132 0.8×	131 1.0×	80 0.8×	38 0.4×	130	976
Stelios Papadakis Greece	14	363 0.9×	179 1.1×	144 1.1×	40 0.4×	118 1.2×	38	742

Countries citing papers authored by Chun-Ru Dong

Since Specialization

Citations

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

Fields of papers citing papers by Chun-Ru Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Ru Dong. 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 Chun-Ru Dong. The network helps show where Chun-Ru Dong may publish in the future.

Co-authorship network of co-authors of Chun-Ru Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Ru Dong. A scholar is included among the top collaborators of Chun-Ru Dong 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 Chun-Ru Dong. Chun-Ru Dong 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:

20 of 20 papers shown

Dong, Chun-Ru, et al.. (2025). Multi-modal Few-shot Image Recognition with enhanced semantic and visual integration. Image and Vision Computing. 157. 105490–105490.

Dong, Chun-Ru, et al.. (2025). MEAI-Net: Multiview embedding and attention interaction for multivariate time series forecasting. Neurocomputing. 633. 129769–129769.

Wang, Dong, Xu Zhang, Qiang Hua, Chun-Ru Dong, & Feng Zhang. (2025). Diffusion policy with Q-ensemble for offline reinforcement learning. International Journal of Machine Learning and Cybernetics. 16(11). 9717–9729. 1 indexed citations

Dong, Chun-Ru, et al.. (2025). ZSIF: A zero-shot solar irradiance forecasting model based on satellite images and numerical series. Sustainable Energy Grids and Networks. 44. 102044–102044.

Dong, Chun-Ru, et al.. (2025). An improved feature aggregation network for photovoltaic cell defect detection. Journal of Renewable and Sustainable Energy. 17(1). 1 indexed citations

Dong, Chun-Ru, et al.. (2024). A novel deep high-level concept-mining jointing hashing model for unsupervised cross-modal retrieval. SHILAP Revista de lepidopterología. 5(2). 100274–100274. 1 indexed citations

Li, Xicheng, et al.. (2024). A deep spatiotemporal interaction network for multimodal sentimental analysis and emotion recognition. Information Sciences. 690. 121515–121515. 2 indexed citations

Hua, Qiang, et al.. (2024). A Multiscale Spatiotemporal Attention Network for Ground-Based Remote Sensing Cloud Image Sequence Prediction. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 2 indexed citations

Hua, Qiang, et al.. (2024). Attention-Enhanced and Knowledge-Fused Dual Item Representations Network for Recommendation. Tsinghua Science & Technology. 30(2). 585–599. 1 indexed citations

10.

Hua, Qiang, et al.. (2024). A Multi-scale neighbourhood feature interaction network for photovoltaic cell defect detection. Knowledge-Based Systems. 309. 112882–112882. 3 indexed citations

11.

Li, Lin, et al.. (2023). A Novel Image Clustering Algorithm Based on Supported Nearest Neighbors. International Journal of Foundations of Computer Science. 36(5). 599–618. 1 indexed citations

12.

Li, Xicheng, et al.. (2022). Deep Emotional Arousal Network for Multimodal Sentiment Analysis and Emotion Recognition. Information Fusion. 88. 296–304. 44 indexed citations

13.

Zhang, Feng, et al.. (2020). An expected experience replay based Q-learning algorithm with random state transition. JOURNAL OF SHENZHEN UNIVERSITY SCIENCE AND ENGINEERING. 37(2). 202–207. 1 indexed citations

14.

Hua, Qiang, et al.. (2019). Improved variational inference with dynamic routing flow. International Journal of Machine Learning and Cybernetics. 11(2). 301–312. 2 indexed citations

15.

Wang, Xizhao, Hong-Jie Xing, Yan Li, et al.. (2015). A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning. IEEE Transactions on Fuzzy Systems. 23(5). 1638–1654. 215 indexed citations

16.

Dong, Shoubin, et al.. (2015). A velocity and neighbor density-based broadcast scheme in mobile ad hoc networks. Journal of High Speed Networks. 21(3). 221–235. 3 indexed citations

17.

Dong, Chun-Ru, Daniel Yeung, & Xizhao Wang. (2013). An improved differential evolution and its application to determining feature weights in similarity based clustering. 831–838. 4 indexed citations

18.

Dong, Chun-Ru, et al.. (2006). Learning the Weights of Weighted Fuzzy If-Then Rules Via Training T-S Norms Neural Network. 2920–2924. 3 indexed citations

19.

Fang, Yuan, et al.. (2005). A new algorithm to get the initial centroids. 2. 1191–1193. 60 indexed citations

20.

Dong, Chun-Ru, et al.. (2005). A study on generalization capability of weighted fuzzy production rules with maximum entropy. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 3181–3186. 1 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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