Gao Xiaoping

16 papers receiving 280 citations

Peers

Gao Xiaoping
Comparison fields: 5 of 70
  • Sensory Systems 48
  • Social Psychology 172
  • Experimental and Cognitive Psychology 109
  • Oceanography 60
  • Environmental Chemistry 25
Replace Cengiz Yener with:
Cengiz Yener Türkiye
Banu Manav Türkiye
José Luis Caivano Argentina
Miho Saito Japan
Zena O’Connor Australia
Yuhan Chen China
Faber Birren United States
Pengjing Xu China
Zheng Huang China
Alice E. Skelton United Kingdom
Gao Xiaoping relative to Cengiz Yener Türkiye Cengiz Yener's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gao Xiaoping

Since Specialization
Citations

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

Fields of papers citing papers by Gao Xiaoping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007109
2 200697
3 198933
4 198916
5 199115
6 20249
7 20206
8 19864
9 20243
10 20233
11 20113
12 20242
13
HfO_2~をベースにしたデバイスにおける自己コンプライアンスマルチレベル貯蔵特性【Powered by NICT】
20161
14
A PRACTICAL STATE ESTIMATION ALGORITHM FOR DISTRIBUTION NETWORK BASED ON BRANCH WITH NODE POWER ESTIMATION
20031
15 20241
16 19851

About Gao Xiaoping

Gao Xiaoping is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Oceanography, Experimental and Cognitive Psychology and Computer Networks and Communications, having authored 16 papers that have together received 304 indexed citations. Recurring topics across this work include Marine and coastal ecosystems (3 papers), Protist diversity and phylogeny (3 papers), Nanocomposite Films for Food Packaging (2 papers), Multisensory perception and integration (2 papers), Color perception and design (2 papers), Microbial Community Ecology and Physiology (2 papers), Semiconductor materials and interfaces (2 papers) and Silicon and Solar Cell Technologies (2 papers). The work is most often cited by research in Sensory Systems (48 citations), Social Psychology (172 citations), Experimental and Cognitive Psychology (109 citations), Oceanography (60 citations) and Environmental Chemistry (25 citations). Gao Xiaoping has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include John H. Xin, John D. Dodge, Jane Lewis, Tetsuya Sato, J. Valldeperas, Shing‐Sheng Guan, Kanji Kajiwara, Monica Billger, Aran Hansuebsai and Manuel José Lis Arias. Their work appears in journals such as Color Research & Application, Chinese Physics Letters, Food Packaging and Shelf Life, Phycologia and Food Chemistry.

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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