Wei Song

2.1k citations
131 papers · 1.3k indexed · h-index 18
Topics
Service-Oriented Architecture and Web Services (41 papers)Business Process Modeling and Analysis (29 papers)Software System Performance and Reliability (22 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Wei Song

117 papers receiving 1.3k citations

Peers

Wei Song
Comparison fields: 5 of 105
  • Information Systems 772
  • Computer Networks and Communications 545
  • Artificial Intelligence 312
  • Management Information Systems 304
  • Signal Processing 124
Replace Beniamino Di Martino with:
Beniamino Di Martino Italy
Manuel Mazzara Russia
Hanêne Ben‐Abdallah Tunisia
Bernhard Bauer Germany
Sushma Jain India
Michael L. Brodie United States
Dumitru Roman Norway
Dietmar Ebner Austria
Mohd Fadzil Hassan Malaysia
Manolis Koubarakis Greece
Wei Song relative to Beniamino Di Martino Italy Beniamino Di Martino's profile →
Citations per field
00.5×3.2×
Beniamino Di Martino · 1×
Citations per year

Countries citing papers authored by Wei Song

Since Specialization
Citations

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

Fields of papers citing papers by Wei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Song. A scholar is included among the top collaborators of Wei Song 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 Wei Song. Wei Song 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 1
4 1
5 0
6 30
7 0
8 0
9 7
10 1
11 17
12 53
13 6
14 6
15 15
16 27
17 14
18 73
19 1
20
HITSCIR System in NTCIR-9 Subtopic Mining Task
6

About Wei Song

Wei Song is a scholar working on Software, Management Information Systems and Information Systems, having authored 131 papers that have together received 1.3k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (41 papers), Business Process Modeling and Analysis (29 papers) and Software System Performance and Reliability (22 papers). The work is most often cited by research in Information Systems (772 citations), Management Information Systems (304 citations) and Computer Networks and Communications (545 citations). Wei Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hans‐Arno Jacobsen, Pengcheng Zhang, Hao Hu, Xiaoxing Ma, Jeff Huang, Yuelong Zhao, Jidong Ge, Hareton Leung, Bin Luo and Zhongjin Li. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

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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