Zenan Ling

17 papers receiving 334 citations

Peers

Zenan Ling
Comparison fields: 5 of 62
  • Computational Mathematics 7
  • Control and Systems Engineering 101
  • Safety, Risk, Reliability and Quality 34
  • Computer Vision and Pattern Recognition 66
  • Energy Engineering and Power Technology 9
Replace Haosen Yang with:
Haosen Yang China
Wenbin Zhao China
Utkarsh Singh India
Chaorui Zhang China
Huilian Liao United Kingdom
Jianqi An China
Bin Qiu Australia
Yiwei Lu China
Abolfazl Rahiminejad Iran
Vikas Pratap Singh India
Zenan Ling relative to Haosen Yang China Haosen Yang's profile →
Citations per field
00.5×5.7×
Haosen Yang · 1×
Citations per year

Countries citing papers authored by Zenan Ling

Since Specialization
Citations

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

Fields of papers citing papers by Zenan Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Zenan Ling, 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 Zenan Ling Line = papers co-authored together Zenan Ling links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201964
2 201647
3 201847
4 201947
5 201730
6 202026
7 201920
8 202019
9 202211
10 201911
11 20229
12 20206
13 20244
14 20193
15
Incipient Fault Detection and Location in Distribution Networks: A Data-Driven Approach
20182
16 20251
17 20241
18 20240
19 20240

About Zenan Ling

Zenan Ling is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 19 papers that have together received 348 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Power System Optimization and Stability (5 papers), Complex Network Analysis Techniques (3 papers), Adversarial Robustness in Machine Learning (2 papers), Blind Source Separation Techniques (2 papers), Power Systems Fault Detection (2 papers), Theoretical and Computational Physics (2 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Computational Mathematics (7 citations), Control and Systems Engineering (101 citations), Safety, Risk, Reliability and Quality (34 citations), Computer Vision and Pattern Recognition (66 citations) and Energy Engineering and Power Technology (9 citations). Zenan Ling has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Robert C. Qiu, Xing He, Lei Chu, Qian Ai, Dongxia Zhang, Haosen Yang, Yuhang Zhang, Haichun Liu, Xinyi Xu and Jian Zhang. Their work appears in journals such as IEEE Access, IEEE Transactions on Power Systems, IEEE Transactions on Big Data, IEEE Transactions on Pattern Analysis and Machine Intelligence and CSEE Journal of Power and Energy Systems.

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.

Explore authors with similar magnitude of impact