Da Gao

1.4k citations
37 papers · 1.1k indexed · 2 hit papers · h-index 15
Topics
Atmospheric chemistry and aerosols (18 papers)Atmospheric Ozone and Climate (10 papers)Air Quality and Health Impacts (9 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Da Gao

31 papers receiving 1.0k citations

Hit Papers

Solving Fuzzy Job-Shop Scheduling Problem Using DE Algori...20202026202220242020202250100150200

Peers

Da Gao
Comparison fields: 5 of 98
  • Atmospheric Science 468
  • Health, Toxicology and Mutagenesis 309
  • Artificial Intelligence 269
  • Global and Planetary Change 233
  • Environmental Engineering 198
Replace Emilio G. Ortiz‐García with:
Emilio G. Ortiz‐García Spain
Chong Huang China
L. Carro‐Calvo Spain
C. Casanova‐Mateo Spain
Guangqiu Huang China
Uri Lerner Israel
Qing Chang China
Ángel M. Pérez‐Bellido Spain
Giorgio Corani Switzerland
Da Gao relative to Emilio G. Ortiz‐García Spain Emilio G. Ortiz‐García's profile →
Citations per field
00.5×7.9×
Emilio G. Ortiz‐García · 1×
Citations per year

Countries citing papers authored by Da Gao

Since Specialization
Citations

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

Fields of papers citing papers by Da Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Gao

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 3
5 11
6 15
7 17
8 1
9 42
10 5
11 1
12 17
13 93
14 5
15 113
16 53
17 3
18
Research and Design of HIRFL-CSR Pulsed Switching Power Supply
6
19
Optimization of hidden nodes and training times in artificial neural network
5
20
A DETECTING APPROACH OF THREE-PHASE DISTORTION CURRENTS BASED ON ADAPTIVE LINEAR NEURAL NETWORK AND ITS BEING REALIZED
4

About Da Gao

Da Gao is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (18 papers), Atmospheric Ozone and Climate (10 papers) and Air Quality and Health Impacts (9 papers). The work is most often cited by research in Atmospheric Science (468 citations), Health, Toxicology and Mutagenesis (309 citations) and Industrial and Manufacturing Engineering (152 citations). Da Gao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Witold Pedrycz, Gai‐Ge Wang, Min Xie, Tijian Wang, Bingliang Zhuang, Shu Li, Lei Shu, Mengmeng Li, Pulong Chen and Yong Han. Their work appears in journals such as The Science of The Total Environment, Geophysical Research Letters and Chemical Engineering Journal.

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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