Bin Fu

2.1k total citations · 1 hit paper
60 papers, 1.2k citations indexed

About

Bin Fu is a scholar working on Computer Networks and Communications, Oceanography and Earth-Surface Processes. According to data from OpenAlex, Bin Fu has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 15 papers in Oceanography and 13 papers in Earth-Surface Processes. Recurrent topics in Bin Fu's work include Ocean Waves and Remote Sensing (15 papers), Coastal and Marine Dynamics (11 papers) and ECG Monitoring and Analysis (9 papers). Bin Fu is often cited by papers focused on Ocean Waves and Remote Sensing (15 papers), Coastal and Marine Dynamics (11 papers) and ECG Monitoring and Analysis (9 papers). Bin Fu collaborates with scholars based in China, United States and Australia. Bin Fu's co-authors include Mingliang Wang, Ruoxi Wang, Gang Fu, Zhu Xiao, Renfa Li, Huaguo Zhang, Hongzhi Liu, Hongbo Jiang, Zhonghai Wu and Rui Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Vehicular Technology.

In The Last Decade

Bin Fu

54 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep & Cross Network for Ad Click Predictions

2017 641 citations Bin Fu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bin Fu China	12	553	470	294	270	126	60	1.2k
Sulaiman Khan Pakistan	19	126 0.2×	216 0.5×	203 0.7×	215 0.8×	141 1.1×	67	1.0k
Yongquan Liang China	14	233 0.4×	447 1.0×	98 0.3×	221 0.8×	187 1.5×	96	925
Jyotsna Kumar Mandal India	21	347 0.6×	422 0.9×	674 2.3×	517 1.9×	214 1.7×	201	1.9k
Giovanni Aloisio Italy	17	175 0.3×	113 0.2×	98 0.3×	443 1.6×	66 0.5×	172	1.2k
Ricardo Soto Chile	20	131 0.2×	702 1.5×	147 0.5×	218 0.8×	84 0.7×	179	1.5k
Aleksandar Petrović Serbia	16	97 0.2×	307 0.7×	87 0.3×	101 0.4×	91 0.7×	41	1.1k
Chuan Luo China	23	266 0.5×	499 1.1×	160 0.5×	449 1.7×	59 0.5×	100	1.6k
Ji Feng China	10	131 0.2×	806 1.7×	375 1.3×	123 0.5×	128 1.0×	22	1.6k

Countries citing papers authored by Bin Fu

Since Specialization

Citations

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

Fields of papers citing papers by Bin Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Fu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Fu, Bin, et al.. (2025). UAV based smart grazing: a prototype of space-air-ground integrated grazing IoT networks in Qinghai-Tibet plateau. SHILAP Revista de lepidopterología. 5(1).

2.

Li, Hanxuan, et al.. (2025). R2C: Mapping Room to Chessboard to Unlock LLM As Low-Level Action Planner. 19456–19466.

3.

Yan, Wenyan, et al.. (2025). PFV2: Packet fragmentation with variable size and vigorous mapping in time-sensitive networking. Journal of Systems Architecture. 166. 103457–103457.

4.

Yan, Wenyan, et al.. (2024). A conflict-free CAN-to-TSN scheduler for CAN-TSN gateway. Journal of Systems Architecture. 153. 103188–103188. 1 indexed citations

5.

Fu, Bin, Renfa Li, Rui Li, et al.. (2024). A dual-branch convolutional neural network with domain-informed attention for arrhythmia classification of 12-lead electrocardiograms. Engineering Applications of Artificial Intelligence. 139. 109480–109480. 2 indexed citations

6.

Zeng, Fanzi, Zhu Xiao, Bin Fu, et al.. (2023). Joint Resources Allocation and 3D Trajectory Optimization for UAV-enabled Space-Air-Ground Integrated Networks. IEEE Transactions on Vehicular Technology. 1–16. 43 indexed citations

7.

Huang, Hao, et al.. (2023). Train a central traffic prediction model using local data: A spatio-temporal network based on federated learning. Engineering Applications of Artificial Intelligence. 125. 106612–106612. 6 indexed citations

8.

Li, Rui, Bin Fu, Yan Liu, et al.. (2023). A CNN-LSTM Ensemble Model for Predicting Protein-Protein Interaction Binding Sites. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(6). 3588–3599. 3 indexed citations

9.

Wang, Jilong, Rui Li, Renfa Li, Bin Fu, & Danny Z. Chen. (2022). HMCKRAutoEncoder: An Interpretable Deep Learning Framework for Time Series Analysis. IEEE Transactions on Emerging Topics in Computing. 10(1). 99–111. 8 indexed citations

10.

Yan, Wenyan, et al.. (2022). A Novel Message Packing Strategy for Time-Sensitive Networking. 2. 2069–2075. 1 indexed citations

11.

Hu, Zhenzhen, Fanzi Zeng, Zhu Xiao, et al.. (2021). Computation Efficiency Maximization and QoE-Provisioning in UAV-Enabled MEC Communication Systems. IEEE Transactions on Network Science and Engineering. 8(2). 1630–1645. 57 indexed citations

12.

Wang, Jilong, Rui Li, Renfa Li, et al.. (2020). Towards Interpretable Arrhythmia Classification With Human-Machine Collaborative Knowledge Representation. IEEE Transactions on Biomedical Engineering. 68(7). 2098–2109. 33 indexed citations

13.

Fu, Bin, et al.. (2020). MCRA: Multicost Rerouting Algorithm in SDN. Journal of Advanced Computational Intelligence and Intelligent Informatics. 24(6). 728–737. 3 indexed citations

14.

Qin, Zhijing, Di Wu, Zhu Xiao, Bin Fu, & Zhijin Qin. (2018). Modeling and Analysis of Data Aggregation From Convergecast in Mobile Sensor Networks for Industrial IoT. IEEE Transactions on Industrial Informatics. 14(10). 4457–4467. 38 indexed citations

15.

Liu, Hongzhi, et al.. (2016). A Novel Bayesian Ensemble Pruning Method. 1205–1212. 6 indexed citations

16.

Zhang, Ping, et al.. (2015). Short-term link quality prediction using nonparametric time series analysis. Science China Information Sciences. 58(8). 1–15. 5 indexed citations

17.

Wang, Xiaozhen, Huaguo Zhang, Xiaofeng Li, Bin Fu, & Weibing Guan. (2015). SAR imaging of a topography-induced current front in a tidal channel. International Journal of Remote Sensing. 36(14). 3563–3574. 6 indexed citations

18.

Fu, Bin. (2013). Comparison between Investment Programs of WWTP Based on LCC Theory. China Water & Wastewater. 3 indexed citations

19.

Fu, Bin. (2010). Hardware-software Co-design Framework Based on Process-level Programming Model. Jisuanji gongcheng.

20.

He, Mingxia, et al.. (2007). A review about SAR technique for shallow water bathymetry surveys. China Ocean Engineering. 21(4). 723–731. 4 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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