Siqu Long

411 total citations
13 papers, 179 citations indexed

About

Siqu Long is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Siqu Long has authored 13 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Siqu Long's work include Topic Modeling (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). Siqu Long is often cited by papers focused on Topic Modeling (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). Siqu Long collaborates with scholars based in Australia, United Kingdom and China. Siqu Long's co-authors include Soyeon Caren Han, Josiah Poon, Xiaojun Wan, Haiqin Yang, Dong Lu, Huichun Li, Chunlei Liu, Pengyi Yang, Shila Ghazanfar and Hani Jieun Kim and has published in prestigious journals such as Bioinformatics, Nature Methods and ACM Computing Surveys.

In The Last Decade

Siqu Long

11 papers receiving 177 citations

Peers

Siqu Long
Comparison fields: 5 of 47
  • Artificial Intelligence 118
  • Computer Vision and Pattern Recognition 75
  • Information Systems 18
  • Molecular Biology 17
  • Social Psychology 7
Replace Jan Buys with:
Jan Buys United Kingdom
Michel Crampes France
Gema Ramírez-Sánchez Spain
Saloni Potdar United States
Nils Blach Switzerland
Jianshu Ji China
Ales Kubicek Switzerland
Piotr Nyczyk Switzerland
Vladimir Pervouchine Singapore
Jan Buys United Kingdom View profile →
Citations per field, relative to Siqu Long
Siqu Long · 1×
Citations per year, relative to Siqu Long
Siqu Long · 1×

Countries citing papers authored by Siqu Long

Since Specialization
Citations

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

Fields of papers citing papers by Siqu Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siqu Long

This figure shows the co-authorship network connecting the top 25 collaborators of Siqu Long. A scholar is included among the top collaborators of Siqu Long based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Siqu Long. Siqu Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 7
3 9
4 6
5 1
6 2
7 0
8 36
9 26
10 60
11 8
12 14
13 10

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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