Dongjin Song

6.1k total citations · 3 hit papers
67 papers, 2.6k citations indexed

About

Dongjin Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Dongjin Song has authored 67 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 13 papers in Signal Processing. Recurrent topics in Dongjin Song's work include Advanced Graph Neural Networks (15 papers), Domain Adaptation and Few-Shot Learning (12 papers) and Time Series Analysis and Forecasting (12 papers). Dongjin Song is often cited by papers focused on Advanced Graph Neural Networks (15 papers), Domain Adaptation and Few-Shot Learning (12 papers) and Time Series Analysis and Forecasting (12 papers). Dongjin Song collaborates with scholars based in United States, China and Australia. Dongjin Song's co-authors include Nitesh V. Chawla, Chuxu Zhang, Ananthram Swami, Chao Huang, Bo Zong, Dacheng Tao, David Meyer, Wei Cheng, Haifeng Chen and Jingchao Ni and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and IEEE Transactions on Image Processing.

In The Last Decade

Dongjin Song

61 papers receiving 2.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Heterogeneous Graph Neural Network

2019 883 citations Dongjin Song et al. profile →
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

2019 482 citations Dongjin Song, Wei Cheng et al. profile →
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

2024 83 citations Kexin Zhang, Qingsong Wen et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dongjin Song United States	20	1.6k	522	425	409	396	67	2.6k
Minnan Luo China	25	1.5k 0.9×	999 1.9×	368 0.9×	390 1.0×	179 0.5×	96	2.4k
Yao Ma United States	19	2.3k 1.5×	612 1.2×	351 0.8×	1.1k 2.8×	246 0.6×	76	3.4k
Xiaofei Xu China	22	1.4k 0.9×	338 0.6×	480 1.1×	309 0.8×	264 0.7×	95	2.2k
Yu Xie China	24	1.8k 1.2×	379 0.7×	365 0.9×	383 0.9×	99 0.3×	88	2.5k
Zahid Halim Pakistan	26	849 0.5×	353 0.7×	514 1.2×	414 1.0×	262 0.7×	119	2.2k
Tong Chen China	33	2.1k 1.4×	530 1.0×	527 1.2×	1.9k 4.7×	251 0.6×	158	3.5k
Sebti Foufou France	20	720 0.5×	527 1.0×	383 0.9×	376 0.9×	175 0.4×	146	2.3k
Michail Vlachos United States	23	1.3k 0.8×	858 1.6×	560 1.3×	436 1.1×	1.9k 4.8×	81	3.3k
Jing Bai China	23	1.0k 0.7×	411 0.8×	265 0.6×	479 1.2×	314 0.8×	112	2.0k

Countries citing papers authored by Dongjin Song

Since Specialization

Citations

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

Fields of papers citing papers by Dongjin Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongjin Song

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

Patel, Parit A., Jinbo Bi, Jayesh Kamath, et al.. (2025). Smartphone Data Gathered Early in Depression Treatment Predicts Treatment Outcome. 93–104.

Patel, Parit A., Reynaldo Morillo, Shweta Ware, et al.. (2025). Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones. ACM Transactions on Intelligent Systems and Technology.

Zhou, Yingjie, Lu Zhang, Le Zhang, et al.. (2025). From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 1 indexed citations

Jiang, Yushan, Jingchao Ni, Wenchao Yu, et al.. (2025). Multi-modal Time Series Analysis: A Tutorial and Survey. 6043–6053. 4 indexed citations

Zhang, Kexin, Qingsong Wen, Chaoli Zhang, et al.. (2024). Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(10). 6775–6794. 83 indexed citations breakdown →

Zhu, Dian, et al.. (2024). Investigation on the Effectiveness of Augmented Reality Memory Training Game for Chinese Older Adults: A Randomized Controlled Trial. Games for Health Journal. 13(1). 5–12. 4 indexed citations

Patel, Parit A., Md Ishtyaq Mahmud, Jinbo Bi, et al.. (2024). Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement. 13–24. 1 indexed citations

Luo, Dongsheng, et al.. (2024). Rank Supervised Contrastive Learning for Time Series Classification. 839–844. 2 indexed citations

Song, Dongjin, et al.. (2024). Topology-aware Embedding Memory for Continual Learning on Expanding Networks. 4326–4337. 2 indexed citations

10.

Song, Dongjin, et al.. (2024). Improving long-term electricity time series forecasting in smart grid with a three-stage channel-temporal approach. Journal of Cleaner Production. 468. 143051–143051. 7 indexed citations

11.

Jiang, Yushan, Wenchao Yu, Dongjin Song, Wei Cheng, & Haifeng Chen. (2023). Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. 1–6. 1 indexed citations

12.

Patel, Parit A., Reynaldo Morillo, Shweta Ware, et al.. (2023). Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(3). 1–21. 3 indexed citations

13.

Jiang, Yushan, Wenchao Yu, Dongjin Song, et al.. (2023). FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. 1010–1019. 3 indexed citations

14.

Yang, Meijian, et al.. (2022). Machine Learning Crop Yield Models Based on Meteorological Features and Comparison with a Process-Based Model. 1(4). 23 indexed citations

15.

Song, Dongjin, et al.. (2022). Hierarchical Prototype Networks for Continual Graph Representation Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 4622–4636. 21 indexed citations

16.

Wang, Lichen, Bo Zong, Wei Cheng, et al.. (2020). Inductive and Unsupervised Representation Learning on Graph Structured Objects. International Conference on Learning Representations. 6 indexed citations

17.

Ni, Jingchao, Wei Cheng, Kai Zhang, et al.. (2017). Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. 1003–1008. 5 indexed citations

18.

Song, Dongjin, Wei Liu, & David Meyer. (2016). Fast structural binary coding. International Joint Conference on Artificial Intelligence. 2018–2024. 19 indexed citations

19.

Song, Dongjin & David Meyer. (2014). A model of consistent node types in signed directed social networks. arXiv (Cornell University). 72–80. 3 indexed citations

20.

Song, Dongjin & Simon Ellis. (1997). Localized Properties in Flakeboard: A Simulation Using Stacked Flakes. Wood and Fiber Science. 29(4). 353–363. 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.

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