Tongcun Liu

462 total citations
24 papers, 281 citations indexed

About

Tongcun Liu is a scholar working on Information Systems, Artificial Intelligence and Transportation. According to data from OpenAlex, Tongcun Liu has authored 24 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 7 papers in Artificial Intelligence and 4 papers in Transportation. Recurrent topics in Tongcun Liu's work include Recommender Systems and Techniques (10 papers), Topic Modeling (4 papers) and Human Mobility and Location-Based Analysis (4 papers). Tongcun Liu is often cited by papers focused on Recommender Systems and Techniques (10 papers), Topic Modeling (4 papers) and Human Mobility and Location-Based Analysis (4 papers). Tongcun Liu collaborates with scholars based in China, Hong Kong and Macao. Tongcun Liu's co-authors include Jianxin Liao, Jingyu Wang, Yulong Wang, Hailin Feng, Ding He, Lei Gao, Lei Zhang, Haifeng Sun, Yuntao Wang and Wenzhao Liang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and IEEE Access.

In The Last Decade

Tongcun Liu

22 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tongcun Liu China 11 86 85 54 33 31 24 281
Mengwen Liu China 13 139 1.6× 51 0.6× 6 0.1× 12 0.4× 12 0.4× 48 382
Zhen Su China 9 39 0.5× 11 0.1× 47 0.9× 22 0.7× 9 0.3× 29 325
Antonio J. Tallón‐Ballesteros Spain 9 112 1.3× 15 0.2× 6 0.1× 23 0.7× 71 2.3× 26 275
Huang Sheng China 10 52 0.6× 45 0.5× 8 0.1× 8 0.2× 72 2.3× 34 297
Flavio Bertini Italy 10 93 1.1× 48 0.6× 17 0.3× 127 3.8× 36 1.2× 38 407
Putu Harry Gunawan Indonesia 8 43 0.5× 63 0.7× 7 0.1× 13 0.4× 38 1.2× 111 317
Congming Shi China 2 45 0.5× 19 0.2× 8 0.1× 14 0.4× 10 0.3× 5 220

Countries citing papers authored by Tongcun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tongcun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongcun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tongcun Liu. A scholar is included among the top collaborators of Tongcun 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 Tongcun Liu. Tongcun Liu 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.
Liu, Tongcun, et al.. (2025). Enhancing tree-based machine learning for chlorophyll-a prediction in coastal seawater through spatiotemporal feature integration. Marine Environmental Research. 209. 107170–107170. 1 indexed citations
2.
Feng, Hailin, et al.. (2025). U3UNet: An accurate and reliable segmentation model for forest fire monitoring based on UAV vision. Neural Networks. 185. 107207–107207. 14 indexed citations
3.
Wang, Yulong, et al.. (2025). Hyperbolic spatial-temporal network for session-based recommendation. Applied Soft Computing. 185. 113996–113996.
4.
5.
Liu, Tongcun, et al.. (2024). Enhancing Session-Based Recommendation With Multi-Interest Hyperbolic Representation Networks. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10567–10579. 1 indexed citations
6.
Liu, Tongcun, Tingting Wang, Hailin Feng, et al.. (2024). Multisource-Fusion-Enhanced Power-Efficient Sustainable Computing for Air Quality Monitoring. IEEE Internet of Things Journal. 11(24). 39041–39055. 18 indexed citations
7.
Feng, Hailin, et al.. (2024). Prediction of Potential miRNA-Disease Associations Based on a Masked Graph Autoencoder. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(6). 1874–1885. 1 indexed citations
8.
Liu, Zhicheng, Yulong Wang, Tongcun Liu, et al.. (2023). Semantic-enhanced Contrastive Learning for Session-based Recommendation. Knowledge-Based Systems. 280. 111001–111001. 8 indexed citations
9.
Liang, Wenzhao, Tongcun Liu, Yuntao Wang, et al.. (2023). Spatiotemporal-aware machine learning approaches for dissolved oxygen prediction in coastal waters. The Science of The Total Environment. 905. 167138–167138. 27 indexed citations
10.
Liu, Tongcun, et al.. (2023). Self‐management experiences of haemodialysis patients with self‐regulatory fatigue: A phenomenological study. Journal of Advanced Nursing. 79(6). 2250–2258. 5 indexed citations
11.
12.
Liu, Tongcun, et al.. (2023). Effects of a temporal self-regulation theory-based intervention on self-management in hemodialysis patients: A randomized controlled trial. Patient Education and Counseling. 119. 108059–108059. 2 indexed citations
13.
Liu, Tongcun, et al.. (2023). Effects of perceived stress, self-acceptance and social support on insomnia in hemodialysis patients: A cross-sectional study. Journal of Psychosomatic Research. 172. 111402–111402. 9 indexed citations
14.
Yang, Bingsheng, et al.. (2023). Prediction of disease-linked miRNAs based on SODNMF-DM. Biomedical Signal Processing and Control. 83. 104621–104621. 1 indexed citations
15.
Liu, Tongcun, et al.. (2022). Dynamic and Static Representation Learning Network for Recommendation. IEEE Transactions on Neural Networks and Learning Systems. 35(1). 831–841. 10 indexed citations
16.
Feng, Hailin, Dongdong Jin, Jian Li, et al.. (2022). Matrix reconstruction with reliable neighbors for predicting potential MiRNA–disease associations. Briefings in Bioinformatics. 24(1). 19 indexed citations
17.
Liao, Jianxin, Tongcun Liu, Hongzhi Yin, et al.. (2021). An integrated model based on deep multimodal and rank learning for point-of-interest recommendation. World Wide Web. 24(2). 631–655. 10 indexed citations
18.
Liu, Tongcun, Jianxin Liao, Yulong Wang, Jingyu Wang, & Qi Qi. (2019). Collaborative tensor–topic factorization model for personalized activity recommendation. Multimedia Tools and Applications. 78(12). 16923–16943. 5 indexed citations
19.
20.
Liao, Jianxin, et al.. (2018). Multi-Context Integrated Deep Neural Network Model for Next Location Prediction. IEEE Access. 6. 21980–21990. 29 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 Mengwen Liu Breakdown of academic impact, for papers by Zhen Su Breakdown of academic impact, for papers by Antonio J. Tallón‐Ballesteros Breakdown of academic impact, for papers by Huang Sheng Breakdown of academic impact, for papers by Flavio Bertini Breakdown of academic impact, for papers by Putu Harry Gunawan Breakdown of academic impact, for papers by Congming Shi
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