Dongjie Wang

704 total citations
35 papers, 356 citations indexed

About

Dongjie Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Dongjie Wang has authored 35 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Dongjie Wang's work include Machine Learning and Data Classification (9 papers), Human Mobility and Location-Based Analysis (7 papers) and Recommender Systems and Techniques (6 papers). Dongjie Wang is often cited by papers focused on Machine Learning and Data Classification (9 papers), Human Mobility and Location-Based Analysis (7 papers) and Recommender Systems and Techniques (6 papers). Dongjie Wang collaborates with scholars based in United States, China and Macao. Dongjie Wang's co-authors include Yanjie Fu, Kunpeng Liu, Pengyang Wang, Yuanchun Zhou, Xing Xie, Le Wu, Xiting Wang, Wei Fan, Leilei Sun and Haifeng Chen and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Frontiers in Environmental Science and Knowledge and Information Systems.

In The Last Decade

Dongjie Wang

31 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongjie Wang United States 12 208 84 80 48 42 35 356
Hiroyuki Toda Japan 10 133 0.6× 94 1.1× 51 0.6× 104 2.2× 55 1.3× 43 351
Kaize Shi China 12 216 1.0× 117 1.4× 36 0.5× 20 0.4× 15 0.4× 28 357
Kyosuke Nishida Japan 13 347 1.7× 69 0.8× 118 1.5× 50 1.0× 151 3.6× 40 506
Şefki Kolozali United Kingdom 8 100 0.5× 48 0.6× 76 0.9× 52 1.1× 81 1.9× 20 339
Ahmed Fahim Egypt 8 217 1.0× 86 1.0× 98 1.2× 17 0.4× 73 1.7× 20 348
Jun Feng China 9 130 0.6× 144 1.7× 88 1.1× 44 0.9× 27 0.6× 26 328
Thorben Iggena Germany 5 72 0.3× 44 0.5× 51 0.6× 53 1.1× 34 0.8× 9 274
Cláudio de Souza Baptista Brazil 10 134 0.6× 91 1.1× 97 1.2× 70 1.5× 136 3.2× 88 404
Marten Fischer Germany 8 84 0.4× 85 1.0× 53 0.7× 58 1.2× 38 0.9× 17 315
Thomas Everding Germany 5 118 0.6× 79 0.9× 68 0.8× 23 0.5× 122 2.9× 9 396

Countries citing papers authored by Dongjie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dongjie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongjie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongjie Wang. A scholar is included among the top collaborators of Dongjie 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 Dongjie Wang. Dongjie 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.
2.
Wang, Dongjie, et al.. (2025). Incremental Causal Graph Learning for Online Cyberattack Detection in Cyber-Physical Infrastructures. IEEE Transactions on Big Data. 1–12.
3.
Wang, Dongjie, et al.. (2024). GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. 1400–1409. 4 indexed citations
4.
Wang, Dongjie, et al.. (2024). Feature Selection as Deep Sequential Generative Learning. ACM Transactions on Knowledge Discovery from Data. 18(9). 1–21. 7 indexed citations
5.
6.
Wang, Dongjie, et al.. (2024). Reinforcement Feature Transformation for Polymer Property Performance Prediction. 4538–4545. 2 indexed citations
7.
Fu, Yanjie, Dongjie Wang, Hui Xiong, & Kunpeng Liu. (2024). Tabular Data-centric AI: Challenges, Techniques and Future Perspectives. 5522–5525.
8.
Wang, Dongjie, et al.. (2024). Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation. ACM Transactions on Intelligent Systems and Technology. 16(2). 1–21. 4 indexed citations
9.
Wang, Dongjie, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, & Haifeng Chen. (2023). Incremental Causal Graph Learning for Online Root Cause Analysis. 2269–2278. 11 indexed citations
10.
Huang, Yanyong, Yuxin Cai, Xiuwen Yi, et al.. (2023). C2IMUFS: Complementary and Consensus Learning-Based Incomplete Multi-View Unsupervised Feature Selection. IEEE Transactions on Knowledge and Data Engineering. 35(10). 10681–10694. 24 indexed citations
11.
Wang, Dongjie, et al.. (2023). Interdependent Causal Networks for Root Cause Localization. 5051–5060. 12 indexed citations
12.
Fan, Wei, et al.. (2023). Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7522–7529. 45 indexed citations
13.
Wang, Dongjie, Pengyang Wang, Yanjie Fu, et al.. (2023). Reinforced Imitative Graph Learning for Mobile User Profiling. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12944–12957. 4 indexed citations
14.
Wang, Dongjie, et al.. (2022). Adaptive graph convolutional imputation network for environmental sensor data recovery. Frontiers in Environmental Science. 10. 6 indexed citations
15.
Wang, Dongjie, Yanjie Fu, Kunpeng Liu, Xiaolin Li, & Yan Solihin. (2022). Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 1826–1834. 16 indexed citations
16.
Wang, Dongjie, Kunpeng Liu, Aziz Mohaisen, et al.. (2021). Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing. Frontiers in Big Data. 4. 762899–762899. 4 indexed citations
17.
Wang, Pengyang, Kunpeng Liu, Dongjie Wang, & Yanjie Fu. (2021). Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data. Frontiers in Big Data. 4. 690970–690970. 15 indexed citations
18.
Wang, Dongjie, Kunpeng Liu, Pauline Johnson, et al.. (2021). Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning. 679–688. 8 indexed citations
19.
Wang, Dongjie, Kunpeng Liu, Aziz Mohaisen, et al.. (2021). Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. arXiv (Cornell University). 450–453. 1 indexed citations
20.
Wang, Dongjie & Seung‐Hee Lee. (2012). Comparative Study on SPA Brand Purchasing Behaviors of 20's and 30's Female between Korea and China. Fashion business. 16(5). 23–38. 3 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 Hiroyuki Toda Breakdown of academic impact, for papers by Kaize Shi Breakdown of academic impact, for papers by Kyosuke Nishida Breakdown of academic impact, for papers by Şefki Kolozali Breakdown of academic impact, for papers by Ahmed Fahim Breakdown of academic impact, for papers by Jun Feng Breakdown of academic impact, for papers by Thorben Iggena Breakdown of academic impact, for papers by Cláudio de Souza Baptista Breakdown of academic impact, for papers by Marten Fischer Breakdown of academic impact, for papers by Thomas Everding
Rankless by CCL
2026