Di Wang

2.4k total citations · 1 hit paper
86 papers, 1.5k citations indexed

About

Di Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Di Wang has authored 86 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 9 papers in Cognitive Neuroscience. Recurrent topics in Di Wang's work include Neural Networks and Applications (10 papers), Reinforcement Learning in Robotics (9 papers) and Face and Expression Recognition (8 papers). Di Wang is often cited by papers focused on Neural Networks and Applications (10 papers), Reinforcement Learning in Robotics (9 papers) and Face and Expression Recognition (8 papers). Di Wang collaborates with scholars based in Singapore, China and United States. Di Wang's co-authors include Chunyan Miao, Peixiang Zhong, Ah‐Hwee Tan, You Zhou, Xiaofeng Zhang, Mengqi Hu, Yizhang Wang, Budhitama Subagdja, Chai Quek and Wei Pang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Di Wang

74 papers receiving 1.4k 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.

EEG-Based Emotion Recognition Using Regularized Graph Neural Networks

2020 540 citations Di Wang, Chunyan Miao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Di Wang Singapore	18	603	532	434	337	131	86	1.5k
Yuexian Hou China	20	644 1.1×	510 1.0×	434 1.0×	235 0.7×	125 1.0×	99	1.5k
Xiangwei Zheng China	21	416 0.7×	539 1.0×	449 1.0×	240 0.7×	122 0.9×	136	1.6k
Masayuki Numao Japan	16	302 0.5×	353 0.7×	279 0.6×	175 0.5×	72 0.5×	147	1.0k
Dazhi Jiang China	22	621 1.0×	199 0.4×	317 0.7×	192 0.6×	65 0.5×	88	1.4k
Chao Wu China	21	516 0.9×	980 1.8×	368 0.8×	359 1.1×	142 1.1×	97	2.4k
Jian Shen China	20	698 1.2×	600 1.1×	419 1.0×	345 1.0×	78 0.6×	54	1.7k
Jason Teo Malaysia	21	726 1.2×	545 1.0×	487 1.1×	195 0.6×	205 1.6×	137	2.1k
Anis Yazidi Norway	23	629 1.0×	357 0.7×	390 0.9×	594 1.8×	63 0.5×	197	2.2k
Jianhua Zhang China	22	414 0.7×	1.2k 2.2×	884 2.0×	207 0.6×	215 1.6×	89	2.2k

Countries citing papers authored by Di Wang

Since Specialization

Citations

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

Fields of papers citing papers by Di Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Di Wang. A scholar is included among the top collaborators of Di 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 Di Wang. Di Wang 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

Zhao, Xiaoshan, et al.. (2025). Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration. 23025–23035. 1 indexed citations

Gu, Qian, Yan Lin, Yi‐Ling Chen, et al.. (2025). From leaf to blend: CNN-enhanced multi-source feature fusion enables threshold-driven style control in digital tobacco formulation. Biotechnology for Biofuels and Bioproducts. 18(1). 104–104.

Wang, Di, et al.. (2025). Investigation of an Efficient Multi-Class Cotton Leaf Disease Detection Algorithm That Leverages YOLOv11. Sensors. 25(14). 4432–4432. 1 indexed citations

Xiao, Yubin, Di Wang, Xuan Wu, et al.. (2025). Improving generalization of neural Vehicle Routing Problem solvers through the lens of model architecture. Neural Networks. 187. 107380–107380. 3 indexed citations

Wang, Di, et al.. (2025). Study on structure-borne noise characteristics and noise reduction of “integrated station-bridge” high-speed railway station. 3(1). 17–27.

Hassan, Muhammad, et al.. (2024). Attention over vulnerable brain regions associating cerebral palsy disorder and biological markers. Journal of Advanced Research. 75. 435–454.

Hassan, Muhammad, Yan Wang, Di Wang, et al.. (2024). Deep learning model for human-intuitive shoeprint reconstruction. Expert Systems with Applications. 249. 123704–123704. 1 indexed citations

Wang, Di, et al.. (2024). Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 20274–20283. 6 indexed citations

Wang, Di, Hao Wang, Yongwei Wang, et al.. (2024). Accurate and Explainable Cataract Detection Using Eye Images Taken by Hand-held Slit-lamp Cameras. 83–88. 1 indexed citations

10.

Chew, Justin, Zhiwei Zeng, Hao Wang, et al.. (2024). ADL+: A Digital Toolkit for Multidomain Cognitive, Physical, and Nutritional Interventions to Prevent Cognitive Decline in Community-Dwelling Older Adults. International Journal of Environmental Research and Public Health. 22(1). 42–42.

11.

Wang, Di, et al.. (2023). Spatial-temporal episodic memory modeling for ADLs: encoding, retrieval, and prediction. Complex & Intelligent Systems. 10(2). 2733–2750. 1 indexed citations

12.

Yu, Weichao, et al.. (2023). A methodology to evaluate gas supply reliability of natural gas pipeline network considering the effects of natural gas resources. Reliability Engineering & System Safety. 238. 109431–109431. 17 indexed citations

13.

Wu, Xuan, Di Wang, Huanhuan Chen, et al.. (2023). Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming. IEEE Transactions on Evolutionary Computation. 28(3). 638–652. 7 indexed citations

14.

Chen, Li, et al.. (2023). Action decoupled SAC reinforcement learning with discrete-continuous hybrid action spaces. Neurocomputing. 537. 141–151. 17 indexed citations

15.

Wu, Xuan, Di Wang, Pengyue Gao, et al.. (2022). Incorporating Surprisingly Popular Algorithm and Euclidean distance-based adaptive topology into PSO. Swarm and Evolutionary Computation. 76. 101222–101222. 38 indexed citations

16.

Wang, Di, Zhiwei Zeng, Audrey Yeo, et al.. (2022). Effectiveness and usability of the system for assessment and intervention of frailty for community-dwelling pre-frail older adults: A pilot study. Frontiers in Medicine. 9. 955785–955785. 5 indexed citations

17.

Wang, Di, et al.. (2022). Efficient Reachability Query with Extreme Labeling Filter. 966–975. 2 indexed citations

18.

Wang, Di, et al.. (2020). Goods Consumed During Transit in Split Delivery Vehicle Routing Problems: Modeling and Solution. IEEE Access. 8. 110336–110350. 10 indexed citations

19.

Tan, Ah‐Hwee, Budhitama Subagdja, Di Wang, & Lei Meng. (2019). Self-organizing neural networks for universal learning and multimodal memory encoding. Neural Networks. 120. 58–73. 22 indexed citations

20.

Wang, Di, Ah‐Hwee Tan, & Chunyan Miao. (2016). Modeling Autobiographical Memory in Human-Like Autonomous Agents. Adaptive Agents and Multi-Agents Systems. 845–853. 6 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