Ling Xing

1.4k citations
107 papers · 877 · h-index 15

Impact in

Papers in

Ling Xing

90 papers receiving 862 citations

Peers

Ling Xing
Comparison fields: 5 of 76
  • Computer Networks and Communications 417
  • Artificial Intelligence 297
  • Aerospace Engineering 190
  • Information Systems 160
  • Electrical and Electronic Engineering 321
Replace Matthias R. Brust with:
Matthias R. Brust Luxembourg
Seyyedali Hosseinalipour United States
Yijun Mo China
Yuedong Xu China
Qilin Fan China
Jiwei Tian China
Shujie Yang China
Chaosheng Feng China
Rosario G. Garroppo Italy
Ling Xing relative to Matthias R. Brust Luxembourg Matthias R. Brust's profile →
Citations per field
00.5×2.8×
Matthias R. Brust · 1×
Citations per year

Countries citing papers authored by Ling Xing

Since Specialization
Citations

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

Fields of papers citing papers by Ling Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ling Xing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ling Xing Line = papers co-authored together Ling Xing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020109
2 202253
3 202041
4 202141
5 202037
6 202336
7 202136
8 201927
9 202227
10 202123
11 201922
12 202021
13 201919
14 202319
15 201918
16 202314
17 202214
18 202313
19 202213
20 201812

About Ling Xing

Ling Xing is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Sociology and Political Science, having authored 107 papers that have together received 877 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (20 papers), Vehicular Ad Hoc Networks (VANETs) (18 papers), Caching and Content Delivery (16 papers), Opportunistic and Delay-Tolerant Networks (14 papers), Advanced MIMO Systems Optimization (13 papers), Complex Network Analysis Techniques (10 papers), Spam and Phishing Detection (9 papers) and Cooperative Communication and Network Coding (9 papers). The work is most often cited by research in Computer Networks and Communications (417 citations), Artificial Intelligence (297 citations), Aerospace Engineering (190 citations), Information Systems (160 citations) and Electrical and Electronic Engineering (321 citations). Ling Xing has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Honghai Wu, Huahong Ma, Feifei Gao, Ping Xie, Pengcheng Zhao, Jing Jiang, Zhu Han, Zhiyu Mou, Yu Zhang and Xiaohui Zhang. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, Electronics and Sensors.

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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