Qi Su

3.5k citations
157 papers · 2.4k · h-index 24

Impact in

Papers in

    • Topic Modeling 30
    • Natural Language Processing Techniques 20
    • Quantum Information and Cryptography 19
    • Quantum Computing Algorithms and Architecture 18
    • Advanced Text Analysis Techniques 14
    • Sentiment Analysis and Opinion Mining 9

Qi Su

139 papers receiving 2.3k citations

Peers

Qi Su
Comparison fields: 5 of 154
  • Artificial Intelligence 1.5k
  • Management Science and Operations Research 479
  • Information Systems 541
  • Signal Processing 204
  • Computer Science Applications 91
Replace Jie Yang with:
Jie Yang Netherlands
Wenbin Zhang United States
Xiaojun Chen China
Jian Yuan China
Zhiyong Zhang China
Juan de Lara Spain
Hiroaki Hayashi Japan
Jacques Wainer Brazil
Olivier Teytaud France
Issei Sato Japan
Qi Su relative to Jie Yang Netherlands Jie Yang's profile →
Citations per field
00.5×3.7×
Jie Yang · 1×
Citations per year

Countries citing papers authored by Qi Su

Since Specialization
Citations

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

Fields of papers citing papers by Qi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008331
2 2008197
3 2007109
4 2020106
5 2018106
6 200669
7 201167
8 201458
9 201357
10 201655
11 201452
12 201851
13 202050
14 200645
15 201738
16 201438
17 202031
18 201331
19 201729
20 201928

About Qi Su

Qi Su is a scholar working on Artificial Intelligence, Information Systems, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Signal Processing, having authored 157 papers that have together received 2.4k indexed citations. Recurring topics across this work include Topic Modeling (30 papers), Natural Language Processing Techniques (20 papers), Quantum Information and Cryptography (19 papers), Quantum Computing Algorithms and Architecture (18 papers), Quantum Mechanics and Applications (16 papers), Advanced Text Analysis Techniques (14 papers), Sentiment Analysis and Opinion Mining (9 papers) and Biometric Identification and Security (7 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Management Science and Operations Research (479 citations), Information Systems (541 citations), Signal Processing (204 citations) and Computer Science Applications (91 citations). Qi Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jennifer Widom, Xu Sun, Héctor García-Molina, Omar Benjelloun, David Menestrina, Steven Euijong Whang, Shuming Ma, Qiaoyan Wen, Wei Huang and Junyang Lin. Their work appears in journals such as Quantum Information Processing, Humanities and Social Sciences Communications, IEEE Access, Lecture notes in computer science and Natural Language Engineering.

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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