Yige Sun

30 papers receiving 833 citations

Yige Sun's Hit Papers

Deep learning versus conventional methods for missing data imputation: A review and comparative study 2023 · 107 citations
1070+1+2Years since publication255075100

Peers

Yige Sun
Comparison fields: 5 of 96
  • Electronic, Optical and Magnetic Materials 384
  • Automotive Engineering 121
  • Electrical and Electronic Engineering 529
  • Polymers and Plastics 68
  • Materials Chemistry 222
Replace Qingrong Wang with:
Qingrong Wang China
Jingyi Zhang China
Yuanhao Wang China
Hongyu Pan China
Kexuan Wang China
Kexin Wei China
Yang Cao China
Yige Sun relative to Qingrong Wang China Qingrong Wang's profile →
Citations per field
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Qingrong Wang · 1×
Citations per year

Countries citing papers authored by Yige Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yige Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017170
2
Deep learning versus conventional methods for missing data imputation: A review and comparative study
Hit paper breakdown →
2023107
3 201796
4 201662
5 201750
6 201744
7 201739
8 201832
9 201327
10 202226
11 202223
12 201723
13 202417
14 202317
15 201417
16 202214
17 202113
18 202413
19 202412
20 20229

About Yige Sun

Yige Sun is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry, Mechanical Engineering and Automotive Engineering, having authored 34 papers that have together received 846 indexed citations. Recurring topics across this work include Advancements in Battery Materials (15 papers), Supercapacitor Materials and Fabrication (11 papers), Advanced Battery Materials and Technologies (8 papers), Extraction and Separation Processes (7 papers), Advanced Battery Technologies Research (6 papers), Graphene research and applications (6 papers), Adsorption and biosorption for pollutant removal (5 papers) and Chemical Synthesis and Characterization (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (384 citations), Automotive Engineering (121 citations), Electrical and Electronic Engineering (529 citations), Polymers and Plastics (68 citations) and Materials Chemistry (222 citations). Yige Sun has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Jie Tang, Jinshi Yuan, Lu‐Chang Qin, Kun Zhang, Da‐Ming Zhu, Jing Li, Kiyoshi Ozawa, Tingting Zhang, Jing Li and Yifan Xu. Their work appears in journals such as ACS Applied Materials & Interfaces, International Journal of Biological Macromolecules, Journal of The Electrochemical Society, Electrochimica Acta and Journal of Materials Chemistry A.

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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