Long Xia

33 total papers · 1.8k total citations
19 papers, 526 citations indexed

About

Long Xia is a scholar working on Information Systems, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Long Xia has authored 19 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 8 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in Long Xia's work include Recommender Systems and Techniques (9 papers), Advanced Bandit Algorithms Research (8 papers) and Advanced Graph Neural Networks (3 papers). Long Xia is often cited by papers focused on Recommender Systems and Techniques (9 papers), Advanced Bandit Algorithms Research (8 papers) and Advanced Graph Neural Networks (3 papers). Long Xia collaborates with scholars based in China, United States and Canada. Long Xia's co-authors include Dawei Yin, Lixin Zou, Weidong Liu, Jiaxing Song, Zhuoye Ding, Shaozhang Niu, Pengfei Wang, Jimmy Xiangji Huang, Dawei Yin and Fan Yu and has published in prestigious journals such as Tourism Management, International Journal of Information Management and Journal of Management Information Systems.

In The Last Decade

Long Xia

19 papers receiving 504 citations

Author Peers

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

Author Last Decade Papers Cites
Long Xia 322 275 206 69 59 19 526
Dong‐Kyu Chae 380 1.2× 339 1.2× 71 0.3× 161 2.3× 7 0.1× 55 612
Qingyun Wu 251 0.8× 297 1.1× 229 1.1× 44 0.6× 70 1.2× 30 509
Matevž Kunaver 297 0.9× 153 0.6× 73 0.4× 77 1.1× 42 0.7× 17 447
Yoon‐Joo Park 310 1.0× 262 1.0× 153 0.7× 69 1.0× 19 0.3× 22 551
Xiaoxue Zhao 215 0.7× 167 0.6× 169 0.8× 62 0.9× 36 0.6× 33 488
Fernando Díez 346 1.1× 154 0.6× 89 0.4× 96 1.4× 21 0.4× 33 459
Yu Lei 307 1.0× 260 0.9× 86 0.4× 112 1.6× 37 0.6× 15 477
Hugues Bouchard 223 0.7× 181 0.7× 101 0.5× 43 0.6× 14 0.2× 16 515
Tariq Mahmood 317 1.0× 233 0.8× 89 0.4× 60 0.9× 22 0.4× 36 534
How Jing 468 1.5× 377 1.4× 122 0.6× 140 2.0× 18 0.3× 11 602

Countries citing papers authored by Long Xia

Since Specialization
Citations

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

Fields of papers citing papers by Long Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Long Xia. A scholar is included among the top collaborators of Long Xia 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 Long Xia. Long Xia 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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