Fanyu Kong

944 total citations
24 papers, 692 citations indexed

About

Fanyu Kong is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Fanyu Kong has authored 24 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Fanyu Kong's work include Advanced Chemical Sensor Technologies (5 papers), Nutritional Studies and Diet (4 papers) and Scheduling and Optimization Algorithms (4 papers). Fanyu Kong is often cited by papers focused on Advanced Chemical Sensor Technologies (5 papers), Nutritional Studies and Diet (4 papers) and Scheduling and Optimization Algorithms (4 papers). Fanyu Kong collaborates with scholars based in China and United States. Fanyu Kong's co-authors include Jindong Tan, Sanglu Lu, Zhuzhong Qian, Jie Wu, Hongsheng He, Chunming Gao, Sheng Zhang, Sheng Zhang, Yufeng Zhou and Sheng Zhang and has published in prestigious journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Mobile Computing.

In The Last Decade

Fanyu Kong

22 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanyu Kong China 12 219 196 177 126 116 24 692
Paolo Ciampolini Italy 13 289 1.3× 114 0.6× 264 1.5× 211 1.7× 173 1.5× 48 820
Hongsheng He China 14 37 0.2× 59 0.3× 131 0.7× 194 1.5× 22 0.2× 66 626
Chamin Morikawa Japan 4 94 0.4× 47 0.2× 63 0.4× 132 1.0× 59 0.5× 6 312
Yingnan Sun United Kingdom 11 32 0.1× 158 0.8× 199 1.1× 133 1.1× 142 1.2× 18 675
Pramod Abichandani United States 14 59 0.3× 22 0.1× 31 0.2× 132 1.0× 108 0.9× 34 497
Niall Twomey United Kingdom 11 86 0.4× 14 0.1× 114 0.6× 280 2.2× 154 1.3× 39 517
Qianyi Huang China 15 315 1.4× 27 0.1× 103 0.6× 62 0.5× 133 1.1× 54 697
Parisa Pouladzadeh Canada 13 23 0.1× 292 1.5× 268 1.5× 121 1.0× 54 0.5× 17 609
Ahmad A. Alzahrani Saudi Arabia 12 79 0.4× 58 0.3× 16 0.1× 85 0.7× 105 0.9× 37 528
Landu Jiang China 14 110 0.5× 49 0.3× 69 0.4× 68 0.5× 56 0.5× 25 441

Countries citing papers authored by Fanyu Kong

Since Specialization
Citations

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

Fields of papers citing papers by Fanyu Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanyu Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Fanyu Kong. A scholar is included among the top collaborators of Fanyu Kong 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 Fanyu Kong. Fanyu Kong 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.
Kong, Fanyu, et al.. (2024). Uniform-machine scheduling problems in green manufacturing system. Mathematical Foundations of Computing. 8(5). 689–700. 1 indexed citations
2.
Kong, Fanyu, et al.. (2024). Scheduling with step learning and job rejection. Operational Research. 25(1). 1 indexed citations
3.
Kong, Fanyu, et al.. (2024). Edge Perception Temporal Data Anomaly Detection Method Based on BiLSTM-Attention in Smart City Big Data Environment. Journal of Circuits Systems and Computers. 33(12).
4.
Kong, Fanyu, et al.. (2023). Single-Machine Scheduling with Step-Deteriorating Jobs and Rejection. Journal of the Operations Research Society of China. 12(4). 1088–1102. 3 indexed citations
5.
Kong, Fanyu, et al.. (2022). Parallel-Machine Scheduling with Step-Deteriorating Jobs to Minimize the Total (Weighted) Completion Time. Asia Pacific Journal of Operational Research. 40(1). 9 indexed citations
6.
Kong, Fanyu, et al.. (2022). Land Resource Use Classification Using Deep Learning in Ecological Remote Sensing Images. Computational Intelligence and Neuroscience. 2022. 1–9. 10 indexed citations
7.
Kong, Fanyu, et al.. (2020). A Delay-Tolerant Data Transmission Scheme for Internet of Vehicles Based on Software Defined Cloud-Fog Networks. IEEE Access. 8. 65911–65922. 16 indexed citations
8.
Kong, Fanyu, et al.. (2019). A Security Reputation Model for IoT Health Data Using S-AlexNet and Dynamic Game Theory in Cloud Computing Environment. IEEE Access. 7. 161822–161830. 25 indexed citations
9.
Zhang, Sheng, Zhuzhong Qian, Jie Wu, Fanyu Kong, & Sanglu Lu. (2017). Wireless Charger Placement and Power Allocation for Maximizing Charging Quality. IEEE Transactions on Mobile Computing. 17(6). 1483–1496. 65 indexed citations
10.
Zhang, Sheng, Zhuzhong Qian, Jie Wu, Fanyu Kong, & Sanglu Lu. (2016). Optimizing Itinerary Selection and Charging Association for Mobile Chargers. IEEE Transactions on Mobile Computing. 16(10). 2833–2846. 50 indexed citations
11.
Zhang, Sheng, Zhuzhong Qian, Fanyu Kong, Jie Wu, & Sanglu Lu. (2015). P<sup>3</sup>: Joint optimization of charger placement and power allocation for wireless power transfer. 2344–2352. 74 indexed citations
12.
Peng, Juan, et al.. (2015). Moment invariants under similarity transformation. Pattern Recognition. 48(11). 3641–3651. 8 indexed citations
13.
He, Hongsheng, Fanyu Kong, & Jindong Tan. (2015). DietCam: Multiview Food Recognition Using a Multikernel SVM. IEEE Journal of Biomedical and Health Informatics. 20(3). 848–855. 82 indexed citations
14.
Tan, Jindong, Fanyu Kong, & Wei Liang. (2012). A 3D object model for wireless camera networks with network constraints. Transactions of the Institute of Measurement and Control. 35(7). 866–874. 4 indexed citations
15.
Kong, Fanyu & Jindong Tan. (2011). DietCam: Regular Shape Food Recognition with a Camera Phone. Digital Commons - Michigan Tech (Michigan Technological University). 127–132. 48 indexed citations
16.
Kong, Fanyu & Jindong Tan. (2011). DietCam: Automatic dietary assessment with mobile camera phones. Pervasive and Mobile Computing. 8(1). 147–163. 172 indexed citations
17.
Hao, Rong, et al.. (2011). Forward-Secure Multi-Signature in the Standard Model: Security Model and Construction. Journal of Software. 21(11). 2920–2932. 2 indexed citations
18.
Gao, Chunming, Fanyu Kong, & Jindong Tan. (2009). HealthAware: Tackling obesity with health aware smart phone systems. Digital Commons - Michigan Tech (Michigan Technological University). 1549–1554. 55 indexed citations
19.
Kong, Fanyu & Jindong Tan. (2009). A 3D object model for wireless camera networks with network constraints. Digital Commons - Michigan Tech (Michigan Technological University). 6. 1–8. 2 indexed citations
20.
Kong, Fanyu & Jindong Tan. (2008). A collaboration-based hybrid vehicular sensor network architecture. Digital Commons - Michigan Tech (Michigan Technological University). 584–589. 15 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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