Leian Chen

11 papers receiving 297 citations

Peers

Leian Chen
Comparison fields: 5 of 45
  • Renewable Energy, Sustainability and the Environment 141
  • Computational Mathematics 4
  • Electrical and Electronic Engineering 212
  • Signal Processing 31
  • Computer Networks and Communications 61
Replace Raja Masood Larik with:
Raja Masood Larik Pakistan
Syed Muhammad Salman Bukhari Pakistan
S M Shafiul Alam United States
B. V. R. Reddy India
Kishan Bhushan Sahay India
Geoff Lyon United States
Oyeniyi Akeem Alimi South Africa
Haroon Rashid India
Ioana Pisică United Kingdom
Xiangjing Su China
Leian Chen relative to Raja Masood Larik Pakistan Raja Masood Larik's profile →
Citations per field
00.5×4.1×
Raja Masood Larik · 1×
Citations per year

Countries citing papers authored by Leian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Leian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Leian Chen, 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 Leian Chen Line = papers co-authored together Leian Chen links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201683
2 201667
3 201747
4 201932
5 202028
6 202215
7 20249
8 20237
9 20207
10 20236
11 20251
12 20250

About Leian Chen

Leian Chen is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Economics and Econometrics, Computer Networks and Communications and Control and Systems Engineering, having authored 12 papers that have together received 302 indexed citations. Recurring topics across this work include Climate Change Policy and Economics (4 papers), Photovoltaic System Optimization Techniques (3 papers), Integrated Energy Systems Optimization (3 papers), Environmental Impact and Sustainability (2 papers), Error Correcting Code Techniques (2 papers), Wireless Signal Modulation Classification (2 papers), Global Energy and Sustainability Research (2 papers) and Innovation Diffusion and Forecasting (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (141 citations), Computational Mathematics (4 citations), Electrical and Electronic Engineering (212 citations), Signal Processing (31 citations) and Computer Networks and Communications (61 citations). Leian Chen has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Xiaodong Wang, Li Shang, Kai Yang, Haoyu Fang, Qing Wang, Guohe Huang, Bin Luo, Lirong Liu, Zhiqiang Wu and Bin Luo. Their work appears in journals such as IEEE Transactions on Smart Grid, IET Smart Grid, IEEE Internet of Things Journal, Resources Conservation and Recycling and Applied Energy.

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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