J.Q. Ning

655 total citations
21 papers, 393 citations indexed

About

J.Q. Ning is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, J.Q. Ning has authored 21 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 12 papers in Software and 9 papers in Artificial Intelligence. Recurrent topics in J.Q. Ning's work include Software Engineering Research (14 papers), Software Testing and Debugging Techniques (9 papers) and Software Reliability and Analysis Research (8 papers). J.Q. Ning is often cited by papers focused on Software Engineering Research (14 papers), Software Testing and Debugging Techniques (9 papers) and Software Reliability and Analysis Research (8 papers). J.Q. Ning collaborates with scholars based in United States, Switzerland and China. J.Q. Ning's co-authors include Mehrtash Harandi, W. Kozaczynski, Stanley Letovsky, Zhiyu Chen, Gang Liu, Alex Quilici, L. L. Miller, Prémkumar Dévanbu, Guang Yang and Jun Su and has published in prestigious journals such as Nutrients, ACM Computing Surveys and IEEE Transactions on Software Engineering.

In The Last Decade

J.Q. Ning

17 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.Q. Ning United States 9 315 258 170 66 26 21 393
Jörg P. Wadsack Germany 8 282 0.9× 178 0.7× 247 1.5× 72 1.1× 26 1.0× 14 351
Bart Du Bois Belgium 11 476 1.5× 377 1.5× 116 0.7× 99 1.5× 46 1.8× 17 515
Stefan Fischer Austria 10 293 0.9× 172 0.7× 288 1.7× 117 1.8× 19 0.7× 43 409
Mariza A. S. Bigonha Brazil 8 254 0.8× 159 0.6× 97 0.6× 116 1.8× 20 0.8× 40 287
Lothar Wendehals Germany 7 289 0.9× 178 0.7× 264 1.6× 72 1.1× 32 1.2× 11 351
Fuqing Yang China 11 392 1.2× 138 0.5× 267 1.6× 217 3.3× 23 0.9× 36 455
U. De Carlini Italy 13 469 1.5× 343 1.3× 153 0.9× 180 2.7× 36 1.4× 28 588
Přemek Brada Czechia 9 243 0.8× 108 0.4× 148 0.9× 115 1.7× 47 1.8× 58 299
Flávio Medeiros Brazil 9 342 1.1× 233 0.9× 224 1.3× 106 1.6× 28 1.1× 24 400
Reinhard Schauer Canada 6 214 0.7× 89 0.3× 203 1.2× 67 1.0× 10 0.4× 15 270

Countries citing papers authored by J.Q. Ning

Since Specialization
Citations

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

Fields of papers citing papers by J.Q. Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.Q. Ning. 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 J.Q. Ning. The network helps show where J.Q. Ning may publish in the future.

Co-authorship network of co-authors of J.Q. Ning

This figure shows the co-authorship network connecting the top 25 collaborators of J.Q. Ning. A scholar is included among the top collaborators of J.Q. Ning 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 J.Q. Ning. J.Q. Ning 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.
Fu, Yinjin, Jun Su, J.Q. Ning, et al.. (2025). Distributed Data Deduplication for Big Data: A Survey. ACM Computing Surveys. 58(3). 1–38. 1 indexed citations
2.
3.
Shen, Liping, et al.. (2024). The Consumption of Non-Sugar Sweetened and Ready-to-Drink Beverages as Emerging Types of Beverages in Shanghai. Nutrients. 16(20). 3547–3547. 2 indexed citations
4.
Ning, J.Q., Zhiyu Chen, & Gang Liu. (2010). PDCA process application in the continuous improvement of software quality. 13 indexed citations
5.
Kozaczynski, W. & J.Q. Ning. (2005). SRE: A Knowledge-based Environment For Large-scale Software Re-engineering Activities. se 13. 113–122.
6.
Ning, J.Q.. (2005). A Component-Based Software Development Model. 389–389. 17 indexed citations
7.
8.
Kozaczynski, W., et al.. (2003). Program concept recognition. 216–225. 7 indexed citations
9.
Ning, J.Q.. (2002). Component-based software engineering (CBSE). 34–43. 17 indexed citations
10.
Ning, J.Q., et al.. (2002). Recovering reusable components from legacy systems by program segmentation. 64–72. 25 indexed citations
11.
Kozaczynski, W., et al.. (2002). Architecture specification support for component integration. 1. 30–39. 2 indexed citations
12.
Kozaczynski, W., et al.. (2002). Concept recognition-based program transformation. 73–82. 21 indexed citations
13.
14.
Kozaczynski, W. & J.Q. Ning. (1996). Concern-driven design for a specification language supporting component-based software engineering. 150–154. 3 indexed citations
15.
Ning, J.Q., et al.. (1996). Component-Based Software Engineering (CBSE). 236. 5 indexed citations
16.
Kozaczynski, W., et al.. (1992). Program concept recognition and transformation. IEEE Transactions on Software Engineering. 18(12). 1065–1075. 99 indexed citations
17.
Miller, L. L., et al.. (1992). Program understanding-does it offer hope for aging software?. 238–242. 3 indexed citations
18.
Kozaczynski, W., Stanley Letovsky, & J.Q. Ning. (1991). A Knowledge-based Approach To Software System Understanding. 162–170. 16 indexed citations
19.
Harandi, Mehrtash & J.Q. Ning. (1990). Knowledge-based program analysis. IEEE Software. 7(1). 74–81. 126 indexed citations
20.
Harandi, Mehrtash & J.Q. Ning. (1988). PAT: a knowledge-based program analysis tool. 312–318. 25 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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