Y.X. Ni

960 citations
51 papers · 696 · h-index 16

Impact in

Papers in

Y.X. Ni

49 papers receiving 638 citations

Peers

Y.X. Ni
Comparison fields: 5 of 67
  • Electrical and Electronic Engineering 619
  • Control and Systems Engineering 246
  • Energy Engineering and Power Technology 33
  • Safety, Risk, Reliability and Quality 70
  • General Energy 4
Replace Konrad Purchała with:
Konrad Purchała Belgium
Paul R. Gribik United States
Xiaohui Qin China
A. Delgadillo Spain
Shangyou Hao United States
P. S. Chandramohanan Nair India
S. Gomes Brazil
D.S. Popović Serbia
Subir Datta India
Joseph H. Yan United States
Y.X. Ni relative to Konrad Purchała Belgium Konrad Purchała's profile →
Citations per field
00.5×1.5×1.8×
Konrad Purchała · 1×
Citations per year

Countries citing papers authored by Y.X. Ni

Since Specialization
Citations

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

Fields of papers citing papers by Y.X. Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y.X. Ni. 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 Y.X. Ni. The network helps show where Y.X. Ni may publish in the future.

Co-authors

The 25 scholars most cited alongside Y.X. Ni, 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 Y.X. Ni Line = papers co-authored together Y.X. Ni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200688
2 199850
3 200347
4 200241
5 200136
6 200733
7 199633
8 201231
9 200530
10 201028
11 200223
12 201020
13 200618
14 200217
15 200716
16 200616
17 200215
18 200114
19 200014
20 201213

About Y.X. Ni

Y.X. Ni is a scholar working on Electrical and Electronic Engineering, Energy Engineering and Power Technology, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Molecular Biology, having authored 51 papers that have together received 696 indexed citations. Recurring topics across this work include Electric Power System Optimization (19 papers), Power System Optimization and Stability (15 papers), Power Systems and Renewable Energy (13 papers), Optimal Power Flow Distribution (11 papers), HVDC Systems and Fault Protection (8 papers), Smart Grid Energy Management (7 papers), Smart Grid and Power Systems (7 papers) and Power Systems and Technologies (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (619 citations), Control and Systems Engineering (246 citations), Energy Engineering and Power Technology (33 citations), Safety, Risk, Reliability and Quality (70 citations) and General Energy (4 citations). Y.X. Ni has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Felix F. Wu, F.F. Wu, Fushuan Wen, Zheng Yan, Ming Zhou, Wolfgang Kliemann, Vijay Vittal, Libao Shi, Chen Shen and Yuxing Dai. Their work appears in journals such as IEEE Transactions on Power Systems, Electric Power Systems Research, IET Generation Transmission & Distribution, International Journal of Electrical Power & Energy Systems and Dianli xitong zidonghua.

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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