Linjun Shou

5.1k citations
46 papers · 3k · 1 hit paper · h-index 17

Impact in

  • Software top 1%
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Web Application Security Vulnerabilities

Papers in

    • Topic Modeling 34
    • Natural Language Processing Techniques 9
    • Speech Recognition and Synthesis 4
    • Speech and dialogue systems 2
    • Information Retrieval and Search Behavior 7
    • Web Data Mining and Analysis 3
    • Software Engineering Research 2

Linjun Shou

45 papers receiving 2.9k citations

Linjun Shou's Hit Papers

CodeBERT: A Pre-Trained Model for Programming and Natural Languages 2020 · 1.8k citations
1.8k0+2+4Years since publication5001k1.5k

Peers

Linjun Shou
Comparison fields: 5 of 64
  • Software 333
  • Information Systems 1.6k
  • Artificial Intelligence 1.1k
  • Computer Vision and Pattern Recognition 220
  • Computer Science Applications 44
Replace Ming Gong with:
Ming Gong China
Ge Li China
Daya Guo China
Lili Mou China
Romain Robbes Chile
Yansong Feng China
Xiaoyin Wang United States
Xinyun Chen United States
Kenny Qili Zhu China
Nate Kushman United States
Linjun Shou relative to Ming Gong China Ming Gong's profile →
Citations per field
00.5×1.5×
Ming Gong · 1×
Citations per year

Countries citing papers authored by Linjun Shou

Since Specialization
Citations

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

Fields of papers citing papers by Linjun Shou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Hit paper breakdown →
20201789
2 2020156
3 2020144
4 2019127
5 202190
6 202383
7 202072
8 202156
9 202150
10 202147
11 202040
12 202134
13 202332
14 202227
15 202123
16 202121
17 202118
18 202014
19 202213
20 201912

About Linjun Shou

Linjun Shou is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Applied Mathematics and Computational Theory and Mathematics, having authored 46 papers that have together received 3k indexed citations. Recurring topics across this work include Topic Modeling (34 papers), Natural Language Processing Techniques (9 papers), Information Retrieval and Search Behavior (7 papers), Speech Recognition and Synthesis (4 papers), Web Data Mining and Analysis (3 papers), Software Engineering Research (2 papers), Advanced Neural Network Applications (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Software (333 citations), Information Systems (1.6k citations), Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (220 citations) and Computer Science Applications (44 citations). Linjun Shou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ming Gong, Daxin Jiang, Nan Duan, Duyu Tang, Ming Zhou, Daya Guo, Zhangyin Feng, Ting Liu, Xiaocheng Feng and Bing Qin. Their work appears in journals such as Knowledge-Based Systems, Lecture notes in computer science, ACM Transactions on Asian and Low-Resource Language Information Processing, IEEE International Conference on Acoustics Speech and Signal Processing and International Joint Conference on Artificial Intelligence.

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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