Huobin Tan

460 total citations
20 papers, 280 citations indexed

About

Huobin Tan is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Huobin Tan has authored 20 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Information Systems and 3 papers in Management Science and Operations Research. Recurrent topics in Huobin Tan's work include Topic Modeling (7 papers), Software Engineering Research (4 papers) and Advanced Graph Neural Networks (4 papers). Huobin Tan is often cited by papers focused on Topic Modeling (7 papers), Software Engineering Research (4 papers) and Advanced Graph Neural Networks (4 papers). Huobin Tan collaborates with scholars based in China, Canada and United States. Huobin Tan's co-authors include Guangyan Lin, Xiyang Liu, Ze Wang, Shuzhen Yao, Linfeng Wang, Ze Wang, Senzhang Wang, Siyu Wu, Yi Yang and Ge Wang and has published in prestigious journals such as IEEE Access, Radiotherapy and Oncology and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Huobin Tan

14 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
Huobin Tan China 4 214 201 34 25 18 20 280
Da Luo China 8 211 1.0× 122 0.6× 46 1.4× 31 1.2× 25 1.4× 12 307
Jiabin Tang China 8 158 0.7× 89 0.4× 45 1.3× 16 0.6× 10 0.6× 15 264
Yuxian Gu China 6 259 1.2× 44 0.2× 72 2.1× 9 0.4× 18 1.0× 9 311
Lixin Su United States 6 173 0.8× 122 0.6× 50 1.5× 24 1.0× 9 0.5× 10 244
Tinglin Huang United States 5 131 0.6× 100 0.5× 118 3.5× 18 0.7× 13 0.7× 8 236
Biao Lu China 6 159 0.7× 175 0.9× 40 1.2× 54 2.2× 13 0.7× 14 259
Lukas Gianinazzi Switzerland 6 139 0.6× 28 0.1× 51 1.5× 30 1.2× 5 0.3× 14 225
Quentin Anthony United States 7 234 1.1× 52 0.3× 71 2.1× 52 2.1× 13 0.7× 22 364
Inma Hernández Spain 10 159 0.7× 112 0.6× 17 0.5× 46 1.8× 50 2.8× 33 213
Gregory V. Bard United States 5 142 0.7× 49 0.2× 51 1.5× 28 1.1× 7 0.4× 9 210

Countries citing papers authored by Huobin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Huobin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huobin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Huobin Tan. A scholar is included among the top collaborators of Huobin Tan 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 Huobin Tan. Huobin Tan 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.
Capretz, Luiz Fernando, et al.. (2025). Graph neural network-based long method and blob code smell detection. Science of Computer Programming. 243. 103284–103284. 1 indexed citations
2.
Wu, Siyu, Yi Yang, Ruiming Li, et al.. (2025). Visual analysis of LLM-based entity resolution from scientific papers. Visual Informatics. 9(2). 100236–100236.
3.
4.
Tan, Huobin, et al.. (2023). PO-2096 Machine learning prediction of Dice similarity coefficient for accuracy evaluation. Radiotherapy and Oncology. 182. S1879–S1880.
5.
6.
Liu, Xiyang, et al.. (2021). RAGAT: Relation Aware Graph Attention Network for Knowledge Graph Completion. IEEE Access. 9. 20840–20849. 41 indexed citations
7.
Tan, Huobin, et al.. (2021). R-L ALGORITHM: AN APPROXIMATION ALGORITHM FOR FRACTAL SIGNALS BASED ON FRACTIONAL CALCULUS. Fractals. 29(8). 3 indexed citations
8.
9.
Wang, Ze, et al.. (2020). CKAN. 219–228. 185 indexed citations
10.
Tan, Huobin, et al.. (2020). A Hierarchical Knowledge and Interest Propagation Network for Recommender Systems. 3. 119–126. 2 indexed citations
11.
Song, You, et al.. (2020). How do early programmers benefit from SPOC blended teaching. 65–70. 1 indexed citations
12.
Tan, Huobin, et al.. (2019). Name disambiguation using meta clusters and clustering ensemble. Journal of Intelligent & Fuzzy Systems. 38(2). 1559–1568. 2 indexed citations
13.
Li, Dandan, et al.. (2018). Multicore design space exploration via semi-supervised ensemble learning. Beijing Hangkong Hangtian Daxue xuebao. 44(4). 792. 1 indexed citations
14.
15.
Tan, Huobin, et al.. (2018). A LSTM-based bidirectional translation model for optimizing rare words and terminologies. 185–189. 16 indexed citations
16.
Tan, Huobin, et al.. (2016). Safety requirements analysis method based on control characteristics of scenarios. Beijing Hangkong Hangtian Daxue xuebao. 42(11). 2358. 1 indexed citations
17.
Tan, Huobin, et al.. (2015). Software defect prediction via transfer learning based neural network. 1–10. 23 indexed citations
18.
Peng, Ying, Shuzhen Yao, & Huobin Tan. (2015). Safety Analysis Based on Stochastic Time Petri Nets. 287–292. 1 indexed citations
19.
Tan, Huobin. (2011). Modeling Research of AFDX Avionics System with DSPN. Jisuanji fangzhen. 1 indexed citations
20.
Tan, Huobin, Shuzhen Yao, & Wenying Li. (2010). Modeling time-triggered mechanisms using MARTE. 4590–4593. 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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