Tong Liu

1.3k total citations
58 papers, 835 citations indexed

About

Tong Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tong Liu has authored 58 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Tong Liu's work include Face and Expression Recognition (12 papers), Advanced Malware Detection Techniques (6 papers) and Image Retrieval and Classification Techniques (5 papers). Tong Liu is often cited by papers focused on Face and Expression Recognition (12 papers), Advanced Malware Detection Techniques (6 papers) and Image Retrieval and Classification Techniques (5 papers). Tong Liu collaborates with scholars based in China, New Zealand and Australia. Tong Liu's co-authors include Teo Sušnjak, Timothy R. McIntosh, Paul Watters, Malka N. Halgamuge, Jiangzhang Gan, Huiling Chen, Fu‐Pei Liang, Hua‐Hong Zou, Alex Ng and Hai‐Ling Wang and has published in prestigious journals such as IEEE Transactions on Signal Processing, Expert Systems with Applications and Sensors.

In The Last Decade

Tong Liu

53 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tong Liu China	18	374	124	112	99	92	58	835
Jianjia Wang China	17	355 0.9×	147 1.2×	26 0.2×	84 0.8×	27 0.3×	56	940
S. Siva Sathya India	11	226 0.6×	59 0.5×	62 0.6×	198 2.0×	22 0.2×	44	771
Zhongqi Lu China	14	347 0.9×	183 1.5×	67 0.6×	59 0.6×	138 1.5×	16	748
Yining Wang United States	21	671 1.8×	193 1.6×	100 0.9×	184 1.9×	29 0.3×	128	1.5k
Yuan Jiang China	13	284 0.8×	96 0.8×	131 1.2×	17 0.2×	46 0.5×	29	770
Jianhua Gu China	14	351 0.9×	156 1.3×	34 0.3×	470 4.7×	34 0.4×	59	1.3k
Qihang Lin United States	19	371 1.0×	99 0.8×	124 1.1×	53 0.5×	9 0.1×	65	969
Xingxia Wang China	17	137 0.4×	60 0.5×	28 0.3×	62 0.6×	25 0.3×	51	850
Sudhir Kumar Sharma India	15	259 0.7×	56 0.5×	28 0.3×	310 3.1×	77 0.8×	97	1.0k

Countries citing papers authored by Tong Liu

Since Specialization

Citations

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

Fields of papers citing papers by Tong Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tong Liu. A scholar is included among the top collaborators of Tong Liu 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 Liu. Tong Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sušnjak, Teo, Timothy R. McIntosh, Andre L. C. Barczak, et al.. (2025). Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence. IEEE Transactions on Cybernetics. 56(1). 29–41.

McIntosh, Timothy R., Teo Sušnjak, Nalin Asanka Gamagedara Arachchilage, et al.. (2025). Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence. IEEE Transactions on Artificial Intelligence. 7(1). 22–39. 12 indexed citations

Chen, Junwen, Tong Liu, Yangguang Cui, Xiaoqiang Li, & Weiqin Tong. (2024). A meta-learning based method for few-shot pneumonia identification using chest X-ray images. Biomedical Signal Processing and Control. 95. 106433–106433. 6 indexed citations

Liu, Tong, et al.. (2024). Meta transfer evidence deep learning for trustworthy few-shot classification. Expert Systems with Applications. 259. 125371–125371. 2 indexed citations

Wang, Jingdong, Wenhui Wang, Fanqi Meng, et al.. (2024). A novel incomplete hesitant fuzzy information supplement and clustering method for large-scale group decision-making. PeerJ Computer Science. 10. e1803–e1803. 1 indexed citations

McIntosh, Timothy R., Teo Sušnjak, Tong Liu, et al.. (2024). Ransomware Reloaded: Re-examining Its Trend, Research and Mitigation in the Era of Data Exfiltration. ACM Computing Surveys. 57(1). 1–40. 9 indexed citations

Li, Xiaoqiang, et al.. (2023). GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7296–7303. 3 indexed citations

Liu, Tong, et al.. (2023). Hierarchical graph learning with convolutional network for brain disease prediction. Multimedia Tools and Applications. 83(15). 46161–46179. 3 indexed citations

Xu, Wen, Julian Jang‐Jaccard, Tong Liu, Fariza Sabrina, & Jin Kwak. (2022). Improved Bidirectional GAN-Based Approach for Network Intrusion Detection Using One-Class Classifier. Computers. 11(6). 85–85. 27 indexed citations

10.

Liu, Tong, Fariza Sabrina, Julian Jang‐Jaccard, Wen Xu, & Yuanyuan Wei. (2021). Artificial Intelligence-Enabled DDoS Detection for Blockchain-Based Smart Transport Systems. Sensors. 22(1). 32–32. 28 indexed citations

11.

Hu, Rongyao, Jiangzhang Gan, Xiaofeng Zhu, Tong Liu, & Xiaoshuang Shi. (2021). Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data. Information Processing & Management. 59(1). 102782–102782. 45 indexed citations

12.

Liu, Tong, Sheng Chen, Shan Liang, Shaojun Gan, & C.J. Harris. (2020). Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series. IEEE Transactions on Signal Processing. 68. 2015–2030. 28 indexed citations

13.

Wang, Hai‐Ling, Zhong‐Hong Zhu, Tong Liu, et al.. (2020). Assembly of Dy60 and Dy30 cage-shaped nanoclusters. Communications Chemistry. 3(1). 30–30. 41 indexed citations

14.

Liu, Tong, et al.. (2018). An Unsupervised Approach to Optimize Chinese Word Segmentation on Domain Literature. Shuju fenxi yu zhishi faxian. 2(2). 96–104.

15.

Liu, Tong, Jasper Mbachu, Anuradha Mathrani, Beatrix Jones, & Barry McDonald. (2017). The Perceived Benefits of Apps by Construction Professionals in New Zealand. Buildings. 7(4). 111–111. 13 indexed citations

16.

Wang, Kai, et al.. (2016). Research on Healthy Anomaly Detection Model Based on Deep Learning from Multiple Time-Series Physiological Signals. Scientific Programming. 2016. 1–9. 34 indexed citations

17.

Wen, Dunwei, et al.. (2014). A novel topic feature for image scene classification. Neurocomputing. 148. 467–476. 24 indexed citations

18.

Liu, Tong, et al.. (2013). Selection of Distinctive SIFT Feature Based on its Distribution on Feature Space and Local Classifier for Face Recognition. The International Arab Journal of Information Technology. 10. 95–101. 1 indexed citations

19.

Liu, Tong, et al.. (2008). Simulation for intrusion-resilient, DDoS-resistant authentication system (IDAS). Spring Simulation Multiconference. 844–851. 1 indexed citations

20.

Liu, Tong, et al.. (2006). A fast algorithm of address lines extraction on complex Chinese mail pieces. International Conference on Signal Processing. 38–43. 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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