Pingfan Kong

538 total citations
16 papers, 310 citations indexed

About

Pingfan Kong is a scholar working on Signal Processing, Software and Information Systems. According to data from OpenAlex, Pingfan Kong has authored 16 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 10 papers in Software and 9 papers in Information Systems. Recurrent topics in Pingfan Kong's work include Advanced Malware Detection Techniques (11 papers), Software Testing and Debugging Techniques (10 papers) and Software Engineering Research (7 papers). Pingfan Kong is often cited by papers focused on Advanced Malware Detection Techniques (11 papers), Software Testing and Debugging Techniques (10 papers) and Software Engineering Research (7 papers). Pingfan Kong collaborates with scholars based in Luxembourg, Australia and Singapore. Pingfan Kong's co-authors include Li Li, Tegawendé F. Bissyandé, Jacques Klein, Jun Gao, Kui Liu, Hao Yu, Yuhao Wang, Dennis Sylvester, Yanjie Zhao and Haoyu Wang and has published in prestigious journals such as IEEE Transactions on Reliability, Empirical Software Engineering and Automated Software Engineering.

In The Last Decade

Pingfan Kong

15 papers receiving 303 citations

Peers

Pingfan Kong

SP

IS

SOFTW

CNC

EEE

Chijin Zhou China

Zimin Chen Sweden

Stijn Volckaert Belgium

Gregory J. Duck Singapore

Dhilung Kirat United States

Xinhui Han China

Yuewu Wang China

Jannik Pewny Germany

Taisook Han South Korea

Chijin Zhou China

Pingfan Kong

116 ×0.6

SP

87 ×0.5

IS

144 ×0.9

SOFTW

58 ×0.6

CNC

22 ×0.4

EEE

Citations per year, relative to Pingfan Kong Pingfan Kong (= 1×) peers Chijin Zhou

Countries citing papers authored by Pingfan Kong

Since Specialization

Citations

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

Fields of papers citing papers by Pingfan Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingfan Kong

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

16 of 16 papers shown

1.

Chen, Xiao, Yue Liu, Pingfan Kong, et al.. (2025). A comparative study between android phone and TV apps. Automated Software Engineering. 32(2).

2.

Tian, Haoye, Pingfan Kong, Kui Liu, et al.. (2024). App review driven collaborative bug finding. Empirical Software Engineering. 29(5). 124–124. 1 indexed citations

3.

Kong, Pingfan, Li Li, Jun Gao, et al.. (2021). ANCHOR: locating android framework-specific crashing faults. Automated Software Engineering. 28(2). 6 indexed citations

4.

Li, Li, et al.. (2021). A First Look at Security Risks of Android TV Apps. 59–64. 5 indexed citations

5.

Gao, Jun, Li Li, Pingfan Kong, Tegawendé F. Bissyandé, & Jacques Klein. (2020). Borrowing your enemy’s arrows: the case of code reuse in Android via direct inter-app code invocation. Open Repository and Bibliography (University of Luxembourg). 939–951. 10 indexed citations

6.

Li, Li, Jun Gao, Pingfan Kong, et al.. (2020). KnowledgeZooClient. Open Repository and Bibliography (University of Luxembourg). 73–78. 1 indexed citations

7.

Gao, Jun, Li Li, Pingfan Kong, Tegawendé F. Bissyandé, & Jacques Klein. (2019). Understanding the Evolution of Android App Vulnerabilities. IEEE Transactions on Reliability. 70(1). 212–230. 38 indexed citations

8.

Gao, Jun, Li Li, Pingfan Kong, Tegawendé F. Bissyandé, & Jacques Klein. (2019). Should You Consider Adware as Malware in Your Study?. 604–608. 18 indexed citations

9.

Kong, Pingfan, Li Li, Jun Gao, Tegawendé F. Bissyandé, & Jacques Klein. (2019). Mining Android crash fixes in the absence of issue- and change-tracking systems. Open Repository and Bibliography (University of Luxembourg). 78–89. 13 indexed citations

10.

Gao, Jun, Pingfan Kong, Li Li, Tegawendé F. Bissyandé, & Jacques Klein. (2019). Negative Results on Mining Crypto-API Usage Rules in Android Apps. Open Repository and Bibliography (University of Luxembourg). 388–398. 19 indexed citations

11.

Kong, Pingfan, Li Li, Jun Gao, et al.. (2018). Automated Testing of Android Apps: A Systematic Literature Review. IEEE Transactions on Reliability. 68(1). 45–66. 138 indexed citations

12.

Gao, Jun, Li Li, Pingfan Kong, Tegawendé F. Bissyandé, & Jacques Klein. (2018). On vulnerability evolution in Android apps. Open Repository and Bibliography (University of Luxembourg). 276–277. 10 indexed citations

13.

Wang, Yuhao, Hao Yu, Dennis Sylvester, & Pingfan Kong. (2014). Energy efficient in-memory AES encryption based on nonvolatile domain-wall nanowire. Design, Automation, and Test in Europe. 1–4. 23 indexed citations

14.

Wang, Yuhao, Hao Yu, Dennis Sylvester, & Pingfan Kong. (2014). Energy efficient in-memory AES encryption based on nonvolatile domain-wall nanowire. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–4. 6 indexed citations

15.

Wang, Yuhao, Hao Yu, Dennis Sylvester, & Pingfan Kong. (2014). Energy efficient in-memory AES encryption based on nonvolatile domain-wall nanowire. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–4. 17 indexed citations

16.

Wang, Yuhao, Pingfan Kong, & Hao Yu. (2013). Logic-in-memory based big-data computing by nonvolatile domain-wall nanowire devices. 9. 1–6. 5 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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