Ling Xing

1.5k citations
118 papers · 1.0k · h-index 17

Impact in

Papers in

Ling Xing

95 papers receiving 998 citations

Peers

Ling Xing
Comparison fields: 5 of 77
  • Computer Networks and Communications 466
  • Artificial Intelligence 325
  • Aerospace Engineering 211
  • Information Systems 178
  • Electrical and Electronic Engineering 348
Replace Seyyedali Hosseinalipour with:
Seyyedali Hosseinalipour United States
Yijun Mo China
Zengbin Zhang United States
Jiwei Tian China
Carolina Fortuna Slovenia
Qilin Fan China
Chaosheng Feng China
Chungang Yang China
Lujie Zhong China
Ling Xing relative to Seyyedali Hosseinalipour United States Seyyedali Hosseinalipour's profile →
Citations per field
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Seyyedali Hosseinalipour · 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 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020113
2 202258
3 202052
4 202351
5 202144
6 202141
7 202041
8 202232
9 201930
10 202124
11 202022
12 201922
13 202322
14 201921
15 201921
16 202218
17 202317
18 202315
19 202415
20 201813

About Ling Xing

Ling Xing is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Information Systems, having authored 118 papers that have together received 1.0k 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 (18 papers), Opportunistic and Delay-Tolerant Networks (14 papers), Advanced MIMO Systems Optimization (13 papers), Complex Network Analysis Techniques (12 papers), Network Security and Intrusion Detection (10 papers) and Cooperative Communication and Network Coding (9 papers). The work is most often cited by research in Computer Networks and Communications (466 citations), Artificial Intelligence (325 citations), Aerospace Engineering (211 citations), Information Systems (178 citations) and Electrical and Electronic Engineering (348 citations). Ling Xing has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Honghai Wu, Huahong Ma, Jianping Gao, Feifei Gao, Ping Xie, Pengcheng Zhao, Jing Jiang, Zhu Tao Han, Yu Zhang and Zhiyu Mou. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Sensors, Ad Hoc Networks and Electronics.

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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