Ying Ji

27 total papers · 646 total citations
21 papers, 491 citations indexed

About

Ying Ji is a scholar working on Control and Systems Engineering, Building and Construction and Electrical and Electronic Engineering. According to data from OpenAlex, Ying Ji has authored 21 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 7 papers in Building and Construction and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Ying Ji's work include Building Energy and Comfort Optimization (6 papers), Smart Grid Energy Management (5 papers) and Microgrid Control and Optimization (5 papers). Ying Ji is often cited by papers focused on Building Energy and Comfort Optimization (6 papers), Smart Grid Energy Management (5 papers) and Microgrid Control and Optimization (5 papers). Ying Ji collaborates with scholars based in China, United States and Czechia. Ying Ji's co-authors include Jianhui Wang, Jiacan Xu, Huaguang Zhang, Jiefan Gu, Peng Xu, Donglin Li, Zhaozhao Wang, Simin Li, Zhe Chen and Zhihong Pang and has published in prestigious journals such as Energy and Buildings, Environmental Research and Energies.

In The Last Decade

Ying Ji

20 papers receiving 483 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ying Ji 248 177 118 75 61 21 491
A. Nottrott 355 1.4× 200 1.1× 54 0.5× 48 0.6× 56 0.9× 9 536
Rubén Hidalgo-León 188 0.8× 98 0.6× 128 1.1× 40 0.5× 113 1.9× 38 439
Navid Haghdadi 279 1.1× 73 0.4× 90 0.8× 45 0.6× 90 1.5× 30 456
Karina Garbesi 173 0.7× 108 0.6× 137 1.2× 18 0.2× 139 2.3× 16 496
Paweł B. Dąbek 174 0.7× 65 0.4× 40 0.3× 73 1.0× 95 1.6× 35 466
C. B. Winn 167 0.7× 130 0.7× 54 0.5× 115 1.5× 63 1.0× 41 543
Thomas A. Deetjen 275 1.1× 83 0.5× 56 0.5× 54 0.7× 38 0.6× 19 454
Xiaojun Liu 220 0.9× 65 0.4× 131 1.1× 40 0.5× 102 1.7× 24 490
Dao H. Vu 329 1.3× 76 0.4× 79 0.7× 22 0.3× 51 0.8× 13 495
Ramesh Kumar Maskey 176 0.7× 113 0.6× 29 0.2× 133 1.8× 24 0.4× 24 420

Countries citing papers authored by Ying Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ying Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Ji

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

All Works

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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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