Ruize Gao

706 citations
31 papers · 424 · h-index 10

Impact in

Papers in

Ruize Gao

25 papers receiving 418 citations

Peers

Ruize Gao
Comparison fields: 5 of 91
  • Industrial and Manufacturing Engineering 79
  • Endocrinology 25
  • Geochemistry and Petrology 22
  • Management Science and Operations Research 44
  • Automotive Engineering 41
Replace Chaoyue Zhao with:
Chaoyue Zhao China
João Paulo Figueiredo Portugal
Christian Larsen Denmark
S. B. Singh India
Carlton H. Scott United States
Siwei Gao China
Narendra Kumar India
Jinlin Li China
Anton Basson South Africa
Stefano Saetta Italy
Ruize Gao relative to Chaoyue Zhao China Chaoyue Zhao's profile →
Citations per field
00.5×1.5×2.3×
Chaoyue Zhao · 1×
Citations per year

Countries citing papers authored by Ruize Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ruize Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021135
2 202140
3 201335
4 202232
5 202231
6 202230
7 202428
8 202215
9 202314
10 202211
11 20239
12 20248
13 20137
14 20245
15 20195
16 20254
17 20233
18 20192
19 20252
20 20232

About Ruize Gao

Ruize Gao is a scholar working on Mechanical Engineering, Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 31 papers that have together received 424 indexed citations. Recurring topics across this work include Extraction and Separation Processes (6 papers), Imbalanced Data Classification Techniques (4 papers), Stock Market Forecasting Methods (3 papers), Financial Distress and Bankruptcy Prediction (2 papers), Advancements in Battery Materials (2 papers), Market Dynamics and Volatility (2 papers), Structural Health Monitoring Techniques (2 papers) and Membrane-based Ion Separation Techniques (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (79 citations), Endocrinology (25 citations), Geochemistry and Petrology (22 citations), Management Science and Operations Research (44 citations) and Automotive Engineering (41 citations). Ruize Gao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jingwen Li, Zhiguang Cao, Andrew Lim, Jie Zhang, Wen Song, Yining Ma, Yu Wang, Zhenyong Miao, Hongwu Zhang and Ning Han. Their work appears in journals such as International Journal of Non-Linear Mechanics, Journal of environmental chemical engineering, Transfusion Medicine, Information Technology and Management and Information Sciences.

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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