Tong Ruan

1.2k total citations
64 papers, 543 citations indexed

About

Tong Ruan is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tong Ruan has authored 64 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 21 papers in Molecular Biology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tong Ruan's work include Topic Modeling (21 papers), Natural Language Processing Techniques (21 papers) and Biomedical Text Mining and Ontologies (21 papers). Tong Ruan is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (21 papers) and Biomedical Text Mining and Ontologies (21 papers). Tong Ruan collaborates with scholars based in China, United States and Canada. Tong Ruan's co-authors include Yangming Zhou, Ping He, Qi Wang, Ju Gao, Daqi Gao, Qi Ye, Jing Zhang, Jiahui Qiu, Huanhuan Zhang and Zhiyuan Ma and has published in prestigious journals such as Bioinformatics, IEEE Access and Neurocomputing.

In The Last Decade

Tong Ruan

49 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tong Ruan China 12 385 173 76 49 45 64 543
Rasmita Dash India 12 251 0.7× 108 0.6× 73 1.0× 43 0.9× 34 0.8× 45 430
S. Punitha India 11 321 0.8× 56 0.3× 103 1.4× 41 0.8× 146 3.2× 42 494
Untari Novia Wisesty Indonesia 11 195 0.5× 63 0.4× 39 0.5× 77 1.6× 23 0.5× 54 433
Ito Wasito Indonesia 9 123 0.3× 62 0.4× 54 0.7× 35 0.7× 18 0.4× 47 328
Zuhaira Muhammad Zain Saudi Arabia 6 191 0.5× 53 0.3× 38 0.5× 64 1.3× 68 1.5× 18 303
Yunlei Sun China 7 161 0.4× 25 0.1× 56 0.7× 63 1.3× 65 1.4× 15 384
Abdelmgeid A. Ali Egypt 11 266 0.7× 41 0.2× 30 0.4× 45 0.9× 85 1.9× 27 450
Suzana Loškovska North Macedonia 10 186 0.5× 49 0.3× 206 2.7× 36 0.7× 41 0.9× 43 400
Santi Wulan Purnami Indonesia 10 156 0.4× 35 0.2× 107 1.4× 70 1.4× 64 1.4× 80 447

Countries citing papers authored by Tong Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Tong Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Ruan. A scholar is included among the top collaborators of Tong Ruan 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 Tong Ruan. Tong Ruan 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.
Li, Shuchun, Xueliang Zhou, Yanfei Shao, et al.. (2024). GC-CDSS: Personalized gastric cancer treatment recommendations system based on knowledge graph. International Journal of Medical Informatics. 185. 105402–105402. 5 indexed citations
2.
Shi, Xiaoming, Zeming Liu, Li Du, et al.. (2024). Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges. 2840–2861. 3 indexed citations
3.
4.
Wang, Haofen, et al.. (2024). A Bidirectional Extraction-Then-Evaluation Framework for Complex Relation Extraction. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7442–7454.
5.
6.
Zhang, Jing, et al.. (2023). ST-Unet: Swin Transformer boosted U-Net with Cross-Layer Feature Enhancement for medical image segmentation. Computers in Biology and Medicine. 153. 106516–106516. 63 indexed citations
7.
Shi, Xiaoming, et al.. (2023). AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model. 953–957. 1 indexed citations
8.
Ye, Qi, Tingting Cai, Xiang Ji, Tong Ruan, & Hong Zheng. (2023). Subsequence and distant supervision based active learning for relation extraction of Chinese medical texts. BMC Medical Informatics and Decision Making. 23(1). 34–34. 2 indexed citations
9.
Zhang, Jing, et al.. (2023). Scale-wise discriminative region learning for medical image segmentation. Biomedical Signal Processing and Control. 89. 105663–105663.
10.
Zhang, Jiaying, et al.. (2020). Lab indicators standardization method for the regional healthcare platform: a case study on heart failure. BMC Medical Informatics and Decision Making. 20(S14). 331–331. 1 indexed citations
11.
12.
Ruan, Tong, et al.. (2019). Representation learning for clinical time series prediction tasks in electronic health records. BMC Medical Informatics and Decision Making. 19(S8). 259–259. 28 indexed citations
13.
Ruan, Tong, et al.. (2019). QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research. BMC Medical Informatics and Decision Making. 19(1). 82–82. 14 indexed citations
14.
Wang, Qi, Jiahui Qiu, Yangming Zhou, et al.. (2018). Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease. arXiv (Cornell University). 2 indexed citations
15.
Wang, Zhe, et al.. (2018). Mortality prediction system for heart failure with orthogonal relief and dynamic radius means. International Journal of Medical Informatics. 115. 10–17. 15 indexed citations
16.
Wang, Mengjie, et al.. (2016). Entity Relation Extraction Based on Rule Inference Engine. 10(9). 1319. 1 indexed citations
17.
Shao, Zhiqing, et al.. (2015). Self-Supervised Synonym Extraction from the Web *. Journal of information science and engineering. 31. 1133–1148. 8 indexed citations
18.
Ruan, Tong, et al.. (2015). KBMetrics - A Multi-purpose Tool for Measuring Quality of Linked Open Data Sets.. International Semantic Web Conference. 1 indexed citations
19.
Shao, Zhiqing, et al.. (2014). Self-Supervised Chinese Ontology Learning from Online Encyclopedias. The Scientific World JOURNAL. 2014. 1–13. 10 indexed citations
20.
Ruan, Tong, et al.. (2014). Building and Exploring Marine Oriented Knowledge Graph for ZhouShan Library.. International Semantic Web Conference. 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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