Haochao Ying

2.0k citations
44 papers · 1.2k indexed · 2 hit papers · h-index 16
Topics
Recommender Systems and Techniques (7 papers)Topic Modeling (5 papers)Human Mobility and Location-Based Analysis (5 papers)

In The Last Decade

Haochao Ying

39 papers receiving 1.2k citations

Hit Papers

Improving automatic source code summarization via deep re...20182026202020232018201850100150200

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
Replace Sergio Di Martino with:
Sergio Di Martino Italy
Zhaopeng Meng China
Vittorio Castelli United States
Xiaohong Zhang China
Yi Gao China
Guoqiang Li China
Haiman Tian United States
Lahouari Ghouti Saudi Arabia
De‐Chuan Zhan China
Haochao Ying relative to Sergio Di Martino Italy Sergio Di Martino's profile →
Citations per field
00.5×3.5×
Sergio Di Martino · 1×
Citations per year

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
#WorkIndexed 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

About Haochao Ying

Haochao Ying is a scholar working on Computational Mathematics, Transportation and Information Systems, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Topic Modeling (5 papers) and Human Mobility and Location-Based Analysis (5 papers). The work is most often cited by research in Information Systems (594 citations), Software (96 citations) and Artificial Intelligence (537 citations). Haochao Ying has collaborated with scholars based in China, United States and Australia. Frequent 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. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Medical Imaging.

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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