Shujuan Jiang

1.3k citations
94 papers · 839 indexed · h-index 14

Shujuan Jiang

79 papers receiving 804 citations

Peers

Shujuan Jiang
Comparison fields: 5 of 86
  • Software 566
  • Information Systems 549
  • Computer Networks and Communications 199
  • Signal Processing 76
  • Artificial Intelligence 181
Replace Francesca Lonetti with:
Francesca Lonetti Italy
Saikat Chakraborty United States
Lin Deng United States
Javed Ferzund Pakistan
Gunel Jahangirova Switzerland
Domenico Amalfitano Italy
Junyan Qian China
Junfeng Tian China
Mengshi Zhang United States
Daniel Popescu United States
Shujuan Jiang relative to Francesca Lonetti Italy Francesca Lonetti's profile →
Citations per field
00.5×6.1×
Francesca Lonetti · 1×
Citations per year

Countries citing papers authored by Shujuan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shujuan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shujuan Jiang, 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 Shujuan Jiang Line = papers co-authored together Shujuan Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20247
5 20236
6 20230
7 20235
8 20230
9 20221
10 20226
11 20222
12 201910
13 20194
14 201935
15 20188
16 201765
17
Measuring the I mportance of Classes Using UIO Sequence
20156
18 20110
19
Automated test data generation by improved Simple and Adaptive Mutation Particle Swarm Optimization algorithm.
20091
20
Survey on peer-to-peer network behavior
20081

About Shujuan Jiang

Shujuan Jiang is a scholar working on Software, Information Systems and Signal Processing, having authored 94 papers that have together received 839 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (53 papers), Software Engineering Research (52 papers), Software Testing and Debugging Techniques (47 papers), Software System Performance and Reliability (14 papers), Imbalanced Data Classification Techniques (7 papers), Advanced Malware Detection Techniques (7 papers), Advanced Steganography and Watermarking Techniques (6 papers) and Educational Technology and Assessment (5 papers). The work is most often cited by research in Software (566 citations), Information Systems (549 citations) and Computer Networks and Communications (199 citations). Shujuan Jiang has collaborated with scholars based in China, Canada and Saudi Arabia. Frequent co-authors include Yanmei Zhang, Yu Qiao, Lina Gong, Li Jiang, Junyan Qian, Xiaolin Ju, Xingya Wang, Lili Bo, Jia-Yue Sun and Yanfeng Tuo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The FASEB Journal.

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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