Bing Guo

2.1k total citations
146 papers, 1.5k citations indexed

About

Bing Guo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Bing Guo has authored 146 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 43 papers in Computer Networks and Communications and 35 papers in Information Systems. Recurrent topics in Bing Guo's work include Parallel Computing and Optimization Techniques (16 papers), Green IT and Sustainability (12 papers) and Cloud Computing and Resource Management (12 papers). Bing Guo is often cited by papers focused on Parallel Computing and Optimization Techniques (16 papers), Green IT and Sustainability (12 papers) and Cloud Computing and Resource Management (12 papers). Bing Guo collaborates with scholars based in China, United States and Australia. Bing Guo's co-authors include Jihe Wang, Meikang Qiu, Yan Shen, Muhammad Rashid Naeem, Hamad Naeem, Xuliang Duan, Junmin Zhou, Chao Yang, Shujuan Yang and Peng Jia and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Bing Guo

134 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bing Guo China	21	410	312	305	229	177	146	1.5k
Eemil Lagerspetz Finland	21	656 1.6×	214 0.7×	186 0.6×	356 1.6×	214 1.2×	58	1.5k
Yu Chen China	23	862 2.1×	260 0.8×	566 1.9×	214 0.9×	262 1.5×	159	1.9k
Ishaani Priyadarshini United States	23	399 1.0×	513 1.6×	281 0.9×	167 0.7×	85 0.5×	59	1.5k
Sarbani Roy India	22	618 1.5×	310 1.0×	300 1.0×	315 1.4×	164 0.9×	164	1.7k
Chao‐Tung Yang Taiwan	26	1.5k 3.6×	362 1.2×	908 3.0×	361 1.6×	209 1.2×	318	2.8k
Julian Jang‐Jaccard Australia	20	1.1k 2.6×	856 2.7×	590 1.9×	91 0.4×	111 0.6×	70	2.0k
Md. Saiful Islam Australia	20	281 0.7×	514 1.6×	155 0.5×	170 0.7×	167 0.9×	112	1.8k
Siqi Shen China	19	309 0.8×	239 0.8×	227 0.7×	69 0.3×	186 1.1×	98	1.4k
Suleman Khan India	18	358 0.9×	617 2.0×	413 1.4×	247 1.1×	136 0.8×	35	1.6k
Ashish Kr. Luhach Papua New Guinea	22	603 1.5×	325 1.0×	386 1.3×	266 1.2×	137 0.8×	95	1.4k

Countries citing papers authored by Bing Guo

Since Specialization

Citations

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

Fields of papers citing papers by Bing Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Guo. A scholar is included among the top collaborators of Bing Guo 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 Bing Guo. Bing Guo 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

Chen, Yanru, et al.. (2024). Cross-Layer AKA Protocol for Industrial Control Based on Channel State Information. IEEE Transactions on Information Forensics and Security. 19. 8263–8274. 1 indexed citations

Wang, Jiamin, Bing Guo, Yao Zhang, et al.. (2024). Enhancing Nanobody Immunoassays through Ferritin Fusion: Construction of a Salmonella-Specific Fenobody for Improved Avidity and Sensitivity. Journal of Agricultural and Food Chemistry. 72(26). 14967–14974. 15 indexed citations

Dai, Cheng, et al.. (2023). A light-weight skeleton human action recognition model with knowledge distillation for edge intelligent surveillance applications. Applied Soft Computing. 151. 111166–111166. 12 indexed citations

Guo, Bing, et al.. (2023). KRL_MLCCL: Multi-label classification based on contrastive learning for knowledge representation learning under open world. Information Processing & Management. 60(5). 103411–103411. 4 indexed citations

Chen, Yanru, Zhiyuan Luo, Limin Sun, et al.. (2023). Physical-Layer Secret Key Generation Based on Bidirectional Convergence Feature Learning Convolutional Network. IEEE Internet of Things Journal. 10(16). 14846–14855. 7 indexed citations

Guo, Bing, et al.. (2023). A Federated Learning Aggregation that Integrates Clustering and Momentum Correction Based on Historical High-Quality Gradients. 595–602. 1 indexed citations

Xu, Wenzheng, Weifa Liang, Haipeng Dai, et al.. (2023). Reward Maximization for Disaster Zone Monitoring With Heterogeneous UAVs. IEEE/ACM Transactions on Networking. 32(1). 890–903. 13 indexed citations

Chen, Yanru, Shijia Liu, Yang Li, et al.. (2023). Online Parallel Attack Detection Method for Industrial Control Based on Multi-Bandpass Filter. IEEE Internet of Things Journal. 11(1). 880–888. 2 indexed citations

Chen, Yanru, Zhiyuan Luo, Yang Li, et al.. (2023). Physical Layer Key Generation Scheme for MIMO System Based on Feature Fusion Autoencoder. IEEE Internet of Things Journal. 10(16). 14886–14895. 15 indexed citations

10.

Chen, Yanru, Shengjie Liu, Yang Li, et al.. (2023). Physical Layer Authentication for Industrial Control Based on Convolutional Denoising Autoencoder. IEEE Internet of Things Journal. 11(9). 15633–15641. 4 indexed citations

11.

Zhang, Le, et al.. (2022). Enhancing the Applicability of Satellite Remote Sensing for PM 2.5 Estimation Using Machine Learning Models in China. Journal of Sensors. 2022. 1–8. 3 indexed citations

12.

Fan, Hongwei, et al.. (2022). ST-Bikes: Predicting Travel-Behaviors of Sharing-Bikes Exploiting Urban Big Data. IEEE Transactions on Intelligent Transportation Systems. 24(7). 7676–7686. 11 indexed citations

13.

Guo, Bing, et al.. (2021). Personal big data pricing method based on differential privacy. Computers & Security. 113. 102529–102529. 19 indexed citations

14.

Guo, Bing, et al.. (2021). Robust supervised topic models under label noise. Machine Learning. 110(5). 907–931. 9 indexed citations

15.

Qiao, Shaojie, et al.. (2019). STPR: A Personalized Next Point-of-Interest Recommendation Model with Spatio-Temporal Effects Based on Purpose Ranking. IEEE Transactions on Emerging Topics in Computing. 9(2). 994–1005. 10 indexed citations

16.

Guo, Bing, et al.. (2019). A Self-Controllable and Balanced Data Sharing Model. IEEE Access. 7. 103275–103290. 3 indexed citations

17.

Qiao, Shaojie, et al.. (2018). A Bimodal Gaussian Inhomogeneous Poisson Algorithm for Bike Number Prediction in a Bike-Sharing System. IEEE Transactions on Intelligent Transportation Systems. 20(8). 2848–2857. 31 indexed citations

18.

Li, Deguang, et al.. (2017). The evolution of open-source mobile applications: An empirical study. Journal of Software Evolution and Process. 29(7). e1855–e1855. 11 indexed citations

19.

Zhang, Chengjin, et al.. (2010). Distributed full-order optimal fusion filters and smoothers for discrete-time stochastic singular systems. International Journal of Systems Science. 42(3). 507–516. 5 indexed citations

20.

Guo, Bing. (2010). Optimal fusion full-order estimators for discrete-time stochastic singular systems. Kongzhi yu juece. 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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