Ben Liu

733 total citations
60 papers, 493 citations indexed

About

Ben Liu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Ben Liu has authored 60 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 7 papers in Information Systems. Recurrent topics in Ben Liu's work include Target Tracking and Data Fusion in Sensor Networks (7 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (4 papers). Ben Liu is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (7 papers), Topic Modeling (4 papers) and Advanced Graph Neural Networks (4 papers). Ben Liu collaborates with scholars based in China, Canada and United Kingdom. Ben Liu's co-authors include Min Han, Huibing Gan, Yanbao Guo, Yang Xia, Deguo Wang, Yazhou Wang, Bing Li, Yan Zhang, Ratnasingham Tharmarasa and Jiaxin Wu and has published in prestigious journals such as Nano Letters, ACS Nano and Bioinformatics.

In The Last Decade

Ben Liu

43 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Liu China 12 162 96 73 65 57 60 493
Zijian Li China 15 279 1.7× 46 0.5× 97 1.3× 62 1.0× 53 0.9× 55 802
Sebastián González Italy 13 154 1.0× 100 1.0× 43 0.6× 33 0.5× 39 0.7× 63 468
Chuang Zhang China 14 140 0.9× 87 0.9× 44 0.6× 52 0.8× 161 2.8× 89 608
Weijun Wang China 13 82 0.5× 33 0.3× 77 1.1× 64 1.0× 27 0.5× 77 653
Rajkumar Ramamurthy Germany 5 231 1.4× 37 0.4× 50 0.7× 57 0.9× 16 0.3× 13 537
Sven Giesselbach Germany 5 201 1.2× 30 0.3× 55 0.8× 57 0.9× 17 0.3× 10 544
Xiang Zou China 13 63 0.4× 59 0.6× 92 1.3× 75 1.2× 27 0.5× 56 428
Jannis Schuecker Germany 5 189 1.2× 28 0.3× 50 0.7× 80 1.2× 16 0.3× 7 548

Countries citing papers authored by Ben Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ben Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Liu. A scholar is included among the top collaborators of Ben 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 Ben Liu. Ben 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
2.
Liu, Ben, et al.. (2026). Overcoming Chemoresistance via an AIEgen-Based Covalent Organic Framework. Nano Letters. 26(5). 1662–1672.
6.
Liu, Ben, et al.. (2025). Historical facts learning from Long-Short Terms with Language Model for Temporal Knowledge Graph Reasoning. Information Processing & Management. 62(3). 104047–104047. 3 indexed citations
8.
Liu, Ben, et al.. (2024). Theoretical derivation and analysis of flow resistance formula in porous media based on variable diameter tube ball model. International Journal of Heat and Fluid Flow. 107. 109326–109326. 1 indexed citations
9.
10.
Liu, Ben, et al.. (2023). Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion. 7790–7803. 15 indexed citations
11.
Ji, Zhenguo, Huibing Gan, & Ben Liu. (2023). A Deep Learning-Based Fault Warning Model for Exhaust Temperature Prediction and Fault Warning of Marine Diesel Engine. Journal of Marine Science and Engineering. 11(8). 1509–1509. 18 indexed citations
12.
Liu, Ben, Feng Gao, & Yan Li. (2023). Cost-Sensitive YOLOv5 for Detecting Surface Defects of Industrial Products. Sensors. 23(5). 2610–2610. 5 indexed citations
13.
Peng, Miao, et al.. (2022). SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction. 4165–4177. 6 indexed citations
14.
Liu, Ben, et al.. (2022). Research on Fault Early Warning of Marine Diesel Engine Based on CNN-BiGRU. Journal of Marine Science and Engineering. 11(1). 56–56. 25 indexed citations
15.
Gan, Huibing, et al.. (2022). Modeling and Optimization of Fuel-Mode Switching and Control Systems for Marine Dual-Fuel Engine. Journal of Marine Science and Engineering. 10(12). 2004–2004. 7 indexed citations
16.
Liu, Ben, et al.. (2020). Underwater Target Tracking in Uncertain Multipath Ocean Environments. IEEE Transactions on Aerospace and Electronic Systems. 56(6). 4899–4915. 43 indexed citations
17.
Liu, Yanmei, Ben Liu, & Yuda Chen. (2019). Research on Image Recognition of Supermarket Commodity Based on Convolutional Neural Network. 171–174. 2 indexed citations
18.
Li, Zheng, et al.. (2018). A Modeling Attack Resistant Scheme Based on Fault Injection. 582–585.
19.
Li, Zheng, et al.. (2018). A Modeling Attack Resistant R-XOR APUF Based on FPGA. 577–581. 5 indexed citations
20.
Liu, Ben. (2011). Research on the Symbol Configuration of Folk Arts Modeling in Commercial Propaganda. Packaging Engineering.

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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