Yinglong Xia

1000 citations
60 papers · 512 · h-index 13

Impact in

Papers in

Yinglong Xia

55 papers receiving 491 citations

Peers

Yinglong Xia
Comparison fields: 5 of 59
  • Artificial Intelligence 372
  • Statistical and Nonlinear Physics 93
  • Computer Vision and Pattern Recognition 112
  • Information Systems 109
  • Computer Networks and Communications 95
Replace Zekai J. Gao with:
Zekai J. Gao United States
Yuntao Jia United States
Javad Azimi United States
Zaixi Zhang China
Shaohua Fan China
Jo Devriendt Belgium
Xing Zhao China
Zhenying He China
Shubho Sengupta United States
Yinglong Xia relative to Zekai J. Gao United States Zekai J. Gao's profile →
Citations per field
00.5×8.5×
Zekai J. Gao · 1×
Citations per year

Countries citing papers authored by Yinglong Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yinglong Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yinglong Xia, 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 Yinglong Xia Line = papers co-authored together Yinglong Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202447
2 202233
3 202132
4 202230
5 202229
6 200822
7 202022
8 202320
9 202020
10 201919
11 200718
12 201017
13 200916
14 201912
15 201812
16 201611
17 200810
18 20189
19 20209
20 20199

About Yinglong Xia

Yinglong Xia is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 60 papers that have together received 512 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (20 papers), Bayesian Modeling and Causal Inference (19 papers), Complex Network Analysis Techniques (16 papers), Graph Theory and Algorithms (9 papers), Data Management and Algorithms (6 papers), Machine Learning and Algorithms (6 papers), Recommender Systems and Techniques (6 papers) and Machine Learning and Data Classification (6 papers). The work is most often cited by research in Artificial Intelligence (372 citations), Statistical and Nonlinear Physics (93 citations), Computer Vision and Pattern Recognition (112 citations), Information Systems (109 citations) and Computer Networks and Communications (95 citations). Yinglong Xia has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Viktor K. Prasanna, Hanghang Tong, Jiebo Luo, Si Zhang, Jian Kang, Jiejun Xu, Boxin Du, Yan Zhu, Long Jin and Yunsong Guo. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Parallel and Distributed Computing, Knowledge and Information Systems, IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems.

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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