Xiang Ling

580 total citations
18 papers, 310 citations indexed

About

Xiang Ling is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Xiang Ling has authored 18 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Xiang Ling's work include Adversarial Robustness in Machine Learning (5 papers), Advanced Malware Detection Techniques (4 papers) and Software Engineering Research (3 papers). Xiang Ling is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Advanced Malware Detection Techniques (4 papers) and Software Engineering Research (3 papers). Xiang Ling collaborates with scholars based in China, United States and Australia. Xiang Ling's co-authors include Shouling Ji, Chunming Wu, Lingfei Wu, Tengfei Ma, Alex X. Liu, Fangli Xu, Bo Li, Jiannan Wang, Ting Wang and Jiangyu Zhang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Measurement.

In The Last Decade

Xiang Ling

14 papers receiving 302 citations

Peers

Xiang Ling
Comparison fields: 5 of 54
  • Artificial Intelligence 194
  • Signal Processing 113
  • Computer Networks and Communications 93
  • Information Systems 78
  • Computer Vision and Pattern Recognition 51
Replace Aziz Makandar with:
Aziz Makandar India
Michael A. Schuh United States
Runqing Yang China
Christophe Rigotti France
Limin Liu China
Vivek Gupta India
Rémi Gilleron France
Chi Chen China
John Waldron Ireland
Dustin Kempton United States
Aziz Makandar India View profile →
Citations per field, relative to Xiang Ling
Xiang Ling · 1×
Citations per year, relative to Xiang Ling
Xiang Ling · 1×

Countries citing papers authored by Xiang Ling

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Ling. A scholar is included among the top collaborators of Xiang Ling 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 Xiang Ling. Xiang Ling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 1
5 1
6 4
7 53
8 8
9 0
10 13
11 8
12 24
13 4
14 46
15 54
16 15
17 76
18 2

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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2026