Purui Su

61 papers receiving 672 citations

Peers

Purui Su
Comparison fields: 5 of 45
  • Software 211
  • Signal Processing 369
  • Computer Networks and Communications 281
  • Artificial Intelligence 374
  • Information Systems 254
Replace Christian Wressnegger with:
Christian Wressnegger Germany
Yonghwi Kwon United States
Hong Hu China
Sebastian Schinzel Germany
Jonas Zaddach France
Mila Dalla Preda Italy
Zhaoguo Wang China
Yeongjin Jang United States
Matthias Neugschwandtner Austria
Tielei Wang China
Purui Su relative to Christian Wressnegger Germany Christian Wressnegger's profile →
Citations per field
00.5×1.5×
Christian Wressnegger · 1×
Citations per year

Countries citing papers authored by Purui Su

Since Specialization
Citations

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

Fields of papers citing papers by Purui Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Purui Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Purui Su Line = papers co-authored together Purui Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018194
2 202087
3 201736
4 201529
5 201925
6
Towards Efficient Heap Overflow Discovery.
201718
7 201918
8 201318
9 200518
10 201017
11 201315
12 201213
13 201612
14 201511
15 201411
16 201710
17 20229
18 20228
19 20228
20 20177

About Purui Su

Purui Su is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Software, having authored 65 papers that have together received 699 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (45 papers), Network Security and Intrusion Detection (24 papers), Software Testing and Debugging Techniques (21 papers), Security and Verification in Computing (15 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Digital and Cyber Forensics (6 papers), Software Reliability and Analysis Research (6 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Software (211 citations), Signal Processing (369 citations), Computer Networks and Communications (281 citations), Artificial Intelligence (374 citations) and Information Systems (254 citations). Purui Su has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Dengguo Feng, Jun Xu, Gang Wang, Wenbo Guo, Dongliang Mu, Xinyu Xing, Yanhao Wang, Qi Li, Yi Yang and Tiffany Bao. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Internet Computing, Science China Information Sciences, IEEE/ACM Transactions on Networking and IEEE Transactions on Visualization and Computer Graphics.

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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