Junfeng Zhao

437 total citations
18 papers, 207 citations indexed

About

Junfeng Zhao is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Junfeng Zhao has authored 18 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 13 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Junfeng Zhao's work include Cloud Computing and Resource Management (11 papers), Software System Performance and Reliability (7 papers) and IoT and Edge/Fog Computing (4 papers). Junfeng Zhao is often cited by papers focused on Cloud Computing and Resource Management (11 papers), Software System Performance and Reliability (7 papers) and IoT and Edge/Fog Computing (4 papers). Junfeng Zhao collaborates with scholars based in China and United Kingdom. Junfeng Zhao's co-authors include Alan R. Hevner, Jiantao Zhou, Jing Wang, Hongji Yang, Minjia Zhang, Jing Liu, Shuai Liu, Jing Liu, Chenyun Yu and Xuesong Gao and has published in prestigious journals such as Neurocomputing, China Communications and International Journal of Automation and Computing.

In The Last Decade

Junfeng Zhao

14 papers receiving 192 citations

Peers

Junfeng Zhao

IS

CNC

AI

CSE

EEE

Changsong Yang China

Dimple Juneja India

Vladimír Soběslav Czechia

Eider Iturbe Spain

Mehrdad Salimitari United States

Manel Abdellatif Canada

Son T. Nguyen Norway

Xinyi Luo China

Shahbaz Siddiqui Pakistan

Rajeev Wankar India

Changsong Yang China

Junfeng Zhao

231 ×1.7

IS

129 ×1.1

CNC

160 ×2.6

AI

13 ×0.4

CSE

22 ×1.2

EEE

Citations per year, relative to Junfeng Zhao Junfeng Zhao (= 1×) peers Changsong Yang

Countries citing papers authored by Junfeng Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Junfeng Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junfeng Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Junfeng Zhao. A scholar is included among the top collaborators of Junfeng Zhao 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 Junfeng Zhao. Junfeng Zhao 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:

18 of 18 papers shown

1.

Yu, Chenyun, Junfeng Zhao, Xuan Wu, Yu Luo, & Yan Xiao. (2025). TPGRec: Text-enhanced and popularity-smoothing graph collaborative filtering for long-tail item recommendation. Neurocomputing. 626. 129539–129539.

2.

Zhao, Junfeng, et al.. (2024). Multi-Modal Sarcasm Detection via Graph Convolutional Network and Dynamic Network. 789–798. 2 indexed citations

3.

Zhao, Junfeng, et al.. (2024). Multi-source Anomaly Detection For Microservice Systems. 414–415.

4.

Zhao, Junfeng, et al.. (2023). Fuzzy Hierarchy Analysis Based Microservice Splitting Result Evaluation. 60–65.

5.

Zhao, Junfeng, et al.. (2022). Research on Elastic Extension of Multi Type Resources for OpenMP Program. 971–978. 1 indexed citations

6.

Zhao, Junfeng, et al.. (2021). Applying Microservice Refactoring to Object-2riented Legacy System. 467–473. 4 indexed citations

7.

Zhao, Junfeng, Minjia Zhang, & Hongji Yang. (2019). Code Refactoring from OpenMP to MapReduce Model for Big Data Processing. 72. 930–935. 3 indexed citations

8.

Zhao, Junfeng, et al.. (2018). Code Refactoring Based on MapReduce in Cloud Migration. 2. 1042–1043.

9.

Zhao, Junfeng & Minjia Zhang. (2018). Refactoring OpenMP Code Based on MapReduce Model. 8. 1040–1041. 3 indexed citations

10.

Liu, Jing, et al.. (2018). FEMCRA: Fine-Grained Elasticity Measurement for Cloud Resources Allocation. 19. 732–739. 3 indexed citations

11.

Zhao, Junfeng, et al.. (2018). Distributed Parallelizability Analysis of Legacy Code. 12. 103–110. 2 indexed citations

12.

Zhao, Junfeng, et al.. (2016). Providing Proactive Fault Tolerance as a Service for Cloud Applications. 126–127. 1 indexed citations

13.

Zhao, Junfeng, et al.. (2016). Detection and Control against Replay Attacks in Smart Grid. 624–627. 32 indexed citations

14.

Zhao, Junfeng, Jiantao Zhou, & Hongji Yang. (2015). Modularizing Legacy System through an Improved Bunch Clustering Method in Cloud Migration. International Journal of Grid and Distributed Computing. 8(4). 1–10. 1 indexed citations

15.

Zhao, Junfeng, Jiantao Zhou, Hongji Yang, & Shuai Liu. (2015). An orthogonal approach to reusable component discovery in cloud migration. China Communications. 12(5). 134–151. 4 indexed citations

16.

Zhao, Junfeng & Jiantao Zhou. (2014). Strategies and Methods for Cloud Migration. International Journal of Automation and Computing. 11(2). 143–152. 39 indexed citations

17.

Zhao, Junfeng, Jiantao Zhou, & Jing Liu. (2012). Translation Rules and a Supporting Tool for Model-Based Reuse. 310–315. 1 indexed citations

18.

Hevner, Alan R., et al.. (2010). IEEE Transactions on Services Computing. 111 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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