Dacong Yan

934 total citations
19 papers, 670 citations indexed

About

Dacong Yan is a scholar working on Software, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Dacong Yan has authored 19 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Software, 10 papers in Signal Processing and 8 papers in Computer Networks and Communications. Recurrent topics in Dacong Yan's work include Software Testing and Debugging Techniques (13 papers), Advanced Malware Detection Techniques (10 papers) and Software System Performance and Reliability (7 papers). Dacong Yan is often cited by papers focused on Software Testing and Debugging Techniques (13 papers), Advanced Malware Detection Techniques (10 papers) and Software System Performance and Reliability (7 papers). Dacong Yan collaborates with scholars based in United States, China and Taiwan. Dacong Yan's co-authors include Atanas Rountev, Shengqian Yang, Guoqing Xu, Haowei Wu, Yan Wang, Yan Wang, Hailong Zhang, Yan Wang, Cheng Zhang and Jianjun Zhao and has published in prestigious journals such as Automated Software Engineering, Journal of Software and 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.

In The Last Decade

Dacong Yan

19 papers receiving 651 citations

Peers

Dacong Yan
Comparison fields: 5 of 21
  • Signal Processing 439
  • Software 407
  • Information Systems 296
  • Computer Networks and Communications 272
  • Electrical and Electronic Engineering 157
Replace Matthias Neugschwandtner with:
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Alireza Sadeghi United States
Chaoshun Zuo United States
Purui Su China
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Matthias Neugschwandtner Austria View profile →
Citations per field, relative to Dacong Yan
Dacong Yan · 1×
Citations per year, relative to Dacong Yan
Dacong Yan · 1×

Countries citing papers authored by Dacong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dacong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dacong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Dacong Yan. A scholar is included among the top collaborators of Dacong Yan 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 Dacong Yan. Dacong Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 38
2 93
3 69
4 71
5 15
6 33
7 25
8
Program Analyses for Understanding the Behavior and Performance of Traditional and Mobile Object-Oriented Software
10
9 45
10 59
11 52
12 9
13 34
14 1
15 19
16 12
17 65
18 12
19 8

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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