Ling Feng

3.9k total citations
126 papers, 1.9k citations indexed

About

Ling Feng is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ling Feng has authored 126 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Artificial Intelligence, 43 papers in Computer Networks and Communications and 38 papers in Information Systems. Recurrent topics in Ling Feng's work include Advanced Database Systems and Queries (29 papers), Data Management and Algorithms (25 papers) and Mental Health via Writing (19 papers). Ling Feng is often cited by papers focused on Advanced Database Systems and Queries (29 papers), Data Management and Algorithms (25 papers) and Mental Health via Writing (19 papers). Ling Feng collaborates with scholars based in China, Netherlands and Australia. Ling Feng's co-authors include Hongjun Lü, Huijun Zhang, Lei Cao, Jianwen Chen, Yiping Li, Elizabeth Chang, Yuanyuan Xue, Jiawei Han, Guoliang Li and Haitao Yuan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Ling Feng

113 papers receiving 1.7k citations

Peers

Ling Feng
Comparison fields: 5 of 138
  • Artificial Intelligence 760
  • Information Systems 533
  • Social Psychology 393
  • Computer Networks and Communications 369
  • Signal Processing 277
Replace Bo Xu with:
Bo Xu China
Krishnaprasad Thirunarayan United States
Hafiz Farooq Ahmad Pakistan
Shaoxiong Ji Finland
Akshi Kumar India
Arbee L. P. Chen Taiwan
Naphtali Rishe United States
Asif Ekbal India
Ho‐Jin Choi South Korea
Myra Spiliopoulou Germany
Bo Xu China View profile →
Citations per field, relative to Ling Feng
Ling Feng · 1×
Citations per year, relative to Ling Feng
Ling Feng · 1×

Countries citing papers authored by Ling Feng

Since Specialization
Citations

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

Fields of papers citing papers by Ling Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Feng. A scholar is included among the top collaborators of Ling Feng 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 Ling Feng. Ling Feng 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 1
2 0
3 3
4 0
5 0
6 3
7 1
8 4
9 3
10 11
11 61
12 6
13 1
14 49
15 2
16 2
17 20
18 44
19
Optimized Design of Materialized Views in a Real-Life Data Warehousing Environment
9
20
Mapping object relationships into XML Schema
8

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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