Hailong Sun

3.8k citations
161 papers · 2.3k indexed · 1 hit paper · h-index 20
Topics
Service-Oriented Architecture and Web Services (31 papers)Mobile Crowdsensing and Crowdsourcing (28 papers)Software Engineering Research (25 papers)

In The Last Decade

Hailong Sun

146 papers receiving 2.3k citations

Hit Papers

A Novel Neural Source Code Representation Based on Abstra...20192026202120232019100200300

Peers

Hailong Sun
Comparison fields: 5 of 100
  • Information Systems 1.7k
  • Computer Networks and Communications 950
  • Artificial Intelligence 765
  • Software 402
  • Signal Processing 278
Replace Meng Jiang with:
Meng Jiang United States
Baishakhi Ray United States
Sajid Anwar Pakistan
Paolo Cremonesi Italy
Filomena Ferrucci Italy
Xin Peng China
Federica Sarro United Kingdom
Robert Ragno United States
Soyeon Park United States
Neil Yorke‐Smith Netherlands
Hailong Sun relative to Meng Jiang United States Meng Jiang's profile →
Citations per field
00.5×10.1×
Meng Jiang · 1×
Citations per year

Countries citing papers authored by Hailong Sun

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Hailong Sun. A scholar is included among the top collaborators of Hailong Sun 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 Hailong Sun. Hailong Sun 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 2
2 0
3 0
4 0
5 4
6 1
7 2
8 0
9 2
10 0
11 0
12 9
13 1
14
Incorporating external knowledge into crowd intelligence for more specific knowledge acquisition
16
15
Spectral label refinement for noisy and missing text labels
5
16 1
17
Project GeoTV: a three-screen service
1
18
[Soil respiration in temperate secondary forest and Larix gmelinii plantation in Northeast China].
3
19 2
20 17

About Hailong Sun

Hailong Sun is a scholar working on Computer Science Applications, Computational Mathematics and Information Systems, having authored 161 papers that have together received 2.3k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (31 papers), Mobile Crowdsensing and Crowdsourcing (28 papers) and Software Engineering Research (25 papers). The work is most often cited by research in Software (402 citations), Information Systems (1.7k citations) and Computational Mathematics (37 citations). Hailong Sun has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xu Wang, Hongyu Zhang, Zicheng Huang, Xi Chen, Xudong Liu, Xudong Liu, Jian Zhang, Jinpeng Huai, Xudong Liu and Richong Zhang. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Information Sciences.

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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