How Jing

12 total papers · 1.0k total citations
11 papers, 602 citations indexed

About

How Jing is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, How Jing has authored 11 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in How Jing's work include Recommender Systems and Techniques (4 papers), Topic Modeling (4 papers) and Advanced Bandit Algorithms Research (2 papers). How Jing is often cited by papers focused on Recommender Systems and Techniques (4 papers), Topic Modeling (4 papers) and Advanced Bandit Algorithms Research (2 papers). How Jing collaborates with scholars based in United States and Taiwan. How Jing's co-authors include Alexander J. Smola, Alex Beutel, Chao-Yuan Wu, Amr Ahmed, Yu Tsao, Jaewon Yang, Qi He, Hanghang Tong, Liangyue Li and Bee-Chung Chen and has published in prestigious journals such as International Joint Conference on Natural Language Processing.

In The Last Decade

How Jing

11 papers receiving 581 citations

Hit Papers

Recurrent Recommender Net... 2017 2026 2020 2023 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Recurrent Recommender Networks
    2017 414 citations Chao-Yuan Wu, Amr Ahmed et al. profile →

Author Peers

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

Author Last Decade Papers Cites
How Jing 468 377 140 122 63 11 602
Yu Zhu 401 0.9× 375 1.0× 132 0.9× 124 1.0× 89 1.4× 15 626
Ali Elkahky 470 1.0× 430 1.1× 210 1.5× 78 0.6× 33 0.5× 10 660
Na Mou 521 1.1× 323 0.9× 228 1.6× 104 0.9× 39 0.6× 7 619
Jun Wang 501 1.1× 208 0.6× 173 1.2× 80 0.7× 47 0.7× 14 572
Negar Hariri 550 1.2× 282 0.7× 120 0.9× 86 0.7× 38 0.6× 15 644
Bo Long 378 0.8× 304 0.8× 105 0.8× 107 0.9× 21 0.3× 21 502
Bottyán Németh 466 1.0× 269 0.7× 222 1.6× 103 0.8× 26 0.4× 10 616
Zihan Lin 522 1.1× 455 1.2× 124 0.9× 101 0.8× 49 0.8× 32 642
Raciel Yera 444 0.9× 256 0.7× 128 0.9× 109 0.9× 26 0.4× 25 630
Majid Meghdadı 337 0.7× 238 0.6× 207 1.5× 60 0.5× 41 0.7× 24 546

Countries citing papers authored by How Jing

Since Specialization
Citations

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

Fields of papers citing papers by How Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of How Jing

This figure shows the co-authorship network connecting the top 25 collaborators of How Jing. A scholar is included among the top collaborators of How Jing 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 How Jing. How Jing 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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2026