Xiaojing Yao

1.8k total citations · 2 hit papers
38 papers, 1.4k citations indexed

About

Xiaojing Yao is a scholar working on Global and Planetary Change, Signal Processing and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Xiaojing Yao has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 8 papers in Signal Processing and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Xiaojing Yao's work include Data Management and Algorithms (8 papers), Air Quality and Health Impacts (4 papers) and Data Mining Algorithms and Applications (4 papers). Xiaojing Yao is often cited by papers focused on Data Management and Algorithms (8 papers), Air Quality and Health Impacts (4 papers) and Data Mining Algorithms and Applications (4 papers). Xiaojing Yao collaborates with scholars based in China, United States and Germany. Xiaojing Yao's co-authors include Tianhe Chi, Ling Peng, Li Xiang, Yuan Hu, Shaolong Cui, Chengzeng You, Congcong Wen, Shufu Liu, Liujia Chen and Yi Fang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Xiaojing Yao

38 papers receiving 1.4k citations

Hit Papers

Long short-term memory neural network for air pollutant c... 2017 2026 2020 2023 2017 2018 100 200 300 400

Peers

Xiaojing Yao
Comparison fields: 5 of 115
  • Environmental Engineering 818
  • Health, Toxicology and Mutagenesis 589
  • Automotive Engineering 270
  • Global and Planetary Change 185
  • Atmospheric Science 184
Replace Ling Peng with:
Ling Peng China
Tianhe Chi China
Yuan Hu China
Feifeng Jiang Hong Kong
Harri Niska Finland
Yuexiong Ding Hong Kong
Martha Arbayani Zaidan Finland
Uri Lerner Israel
Ling Peng China View profile →
Citations per field, relative to Xiaojing Yao
Xiaojing Yao · 1×
Citations per year, relative to Xiaojing Yao
Xiaojing Yao · 1×

Countries citing papers authored by Xiaojing Yao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Yao. A scholar is included among the top collaborators of Xiaojing Yao 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 Xiaojing Yao. Xiaojing Yao 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
# Work Indexed citations
1 4
2 16
3 3
4 9
5 1
6 3
7 4
8 5
9 1
10 17
11
A novel spatiotemporal convolutional long short-term neural network for air pollution prediction breakdown →
317
12 2
13 56
14 24
15
Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation breakdown →
491
16 4
17 1
18 23
19 2
20 31

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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