Qi Su

3.4k citations
137 papers · 1.9k · h-index 21

Impact in

Papers in

    • Topic Modeling 27
    • Natural Language Processing Techniques 20
    • Quantum Information and Cryptography 19
    • Quantum Computing Algorithms and Architecture 18
    • Advanced Text Analysis Techniques 11
    • Sentiment Analysis and Opinion Mining 6
    • Quantum Mechanics and Applications 16

Qi Su

116 papers receiving 1.8k citations

Peers

Qi Su
Comparison fields: 5 of 147
  • Artificial Intelligence 1.3k
  • Management Science and Operations Research 384
  • Information Systems 403
  • Computer Science Applications 78
  • Signal Processing 128
Replace Juan de Lara with:
Juan de Lara Spain
Zhiyong Zhang China
Hiroaki Hayashi Japan
Wenbin Zhang United States
Jie Yang Netherlands
Yuan Hong United States
Martin Purvis New Zealand
Issei Sato Japan
Yang Xiang China
Qi Su relative to Juan de Lara Spain Juan de Lara's profile →
Citations per field
00.5×3.2×
Juan de Lara · 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 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008264
2 2008154
3 202093
4 201891
5 200791
6 201163
7 201458
8 201654
9 201352
10 201452
11 201847
12 202044
13 200640
14 201435
15 201733
16 201331
17 201727
18 201927
19 202025
20 201423

About Qi Su

Qi Su is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 137 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (27 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 (11 papers), Sentiment Analysis and Opinion Mining (6 papers) and Language, Metaphor, and Cognition (5 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Management Science and Operations Research (384 citations), Information Systems (403 citations), Computer Science Applications (78 citations) and Signal Processing (128 citations). Qi Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jennifer Widom, Xu Sun, Omar Benjelloun, David Menestrina, Héctor García-Molina, Steven Euijong Whang, Wei Huang, Qiaoyan Wen, Shuming Ma and Junyang Lin. Their work appears in journals such as Quantum Information Processing, IEEE Access, Humanities and Social Sciences Communications, Scientific Reports and Nature Communications.

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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