Qi Ju

84 total papers · 1.8k total citations
25 papers, 960 citations indexed

About

Qi Ju is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oceanography. According to data from OpenAlex, Qi Ju has authored 25 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Oceanography. Recurrent topics in Qi Ju's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Marine and coastal ecosystems (4 papers). Qi Ju is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Marine and coastal ecosystems (4 papers). Qi Ju collaborates with scholars based in China, Hong Kong and Sweden. Qi Ju's co-authors include Zhe Zhao, Weijie Liu, Zhiruo Wang, Peng Zhou, Ping Wang, Bojie Hu, Shen Huang, Ruijia Wang, Xing Xie and Chuan Shi and has published in prestigious journals such as The Science of The Total Environment, Water Research and International Journal of Pharmaceutics.

In The Last Decade

Qi Ju

21 papers receiving 942 citations

Hit Papers

K-BERT: Enabling Language... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qi Ju 766 236 92 78 44 25 960
Zhiqiang Wang 315 0.4× 192 0.8× 153 1.7× 87 1.1× 24 0.5× 56 1.1k
Xiaozhi Wang 919 1.2× 188 0.8× 123 1.3× 69 0.9× 82 1.9× 31 1.2k
Juan José del Coz 514 0.7× 162 0.7× 128 1.4× 102 1.3× 32 0.7× 42 941
Michael Dittenbach 573 0.7× 296 1.3× 125 1.4× 45 0.6× 28 0.6× 35 948
R. Bharat Rao 505 0.7× 218 0.9× 87 0.9× 93 1.2× 34 0.8× 36 877
Joaquim Pinto da Costa 462 0.6× 237 1.0× 83 0.9× 127 1.6× 67 1.5× 42 949
Yifan Zhang 631 0.8× 284 1.2× 51 0.6× 45 0.6× 90 2.0× 46 977
Yujia Qin 409 0.5× 123 0.5× 73 0.8× 50 0.6× 26 0.6× 39 979
Dietrich Wettschereck 740 1.0× 283 1.2× 248 2.7× 61 0.8× 38 0.9× 15 1.1k
Muhammad Iqbal 499 0.7× 265 1.1× 68 0.7× 146 1.9× 13 0.3× 51 946

Countries citing papers authored by Qi Ju

Since Specialization
Citations

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

Fields of papers citing papers by Qi Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Ju. A scholar is included among the top collaborators of Qi Ju 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 Qi Ju. Qi Ju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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