Haochao Ying

2.0k total citations · 2 hit papers
44 papers, 1.2k citations indexed

About

Haochao Ying is a scholar working on Artificial Intelligence, Information Systems and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Haochao Ying has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Information Systems and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Haochao Ying's work include Recommender Systems and Techniques (7 papers), Topic Modeling (5 papers) and Human Mobility and Location-Based Analysis (5 papers). Haochao Ying is often cited by papers focused on Recommender Systems and Techniques (7 papers), Topic Modeling (5 papers) and Human Mobility and Location-Based Analysis (5 papers). Haochao Ying collaborates with scholars based in China, United States and Australia. Haochao Ying's co-authors include Jian Wu, Guandong Xu, Hui Xiong, Yanchi Liu, Fuzhen Zhuang, Zhou Zhao, Min Yang, Philip S. Yu, Yao Wan and Jian Wu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Haochao Ying

39 papers receiving 1.2k citations

Hit Papers

Improving automatic source code summarization via deep re... 2018 2026 2020 2023 2018 2018 50 100 150 200

Peers

Haochao Ying
Comparison fields: 5 of 129
  • Information Systems 594
  • Artificial Intelligence 537
  • Computer Vision and Pattern Recognition 256
  • Computer Networks and Communications 116
  • Software 96
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Citations per field, relative to Haochao Ying
Haochao Ying · 1×
Citations per year, relative to Haochao Ying
Haochao Ying · 1×

Countries citing papers authored by Haochao Ying

Since Specialization
Citations

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

Fields of papers citing papers by Haochao Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haochao Ying

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 10
4 3
5 6
6 5
7 45
8 0
9 11
10 17
11 9
12 20
13 33
14 1
15 121
16 3
17 3
18 36
19 81
20
EARec: Leveraging Expertise and Authority for Pull-Request Reviewer Recommendation in GitHub
2

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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