Xuning Liu

627 citations
38 papers · 472 · 1 hit paper · h-index 9

Impact in

Papers in

Xuning Liu

34 papers receiving 460 citations

Xuning Liu's Hit Papers

Photo-produced aromatic compounds stimulate microbial degradation of dissolved organic carbon in thermokarst lakes 2023 · 88 citations
880+1+2Years since publication255075

Peers

Xuning Liu
Comparison fields: 5 of 90
  • Media Technology 158
  • Computer Vision and Pattern Recognition 152
  • Atmospheric Science 116
  • Oceanography 40
  • Ecology 83
Replace Xiongwu Xiao with:
Xiongwu Xiao China
Huawu Deng Canada
Xuan Hou China
Mengjiao Qin China
Jiaguo Li China
Xiuwei Zhang China
Quanhua Zhao China
Jacob Shermeyer United States
Emmanuel Tonyé Cameroon
Felix M. Riese Germany
Xuning Liu relative to Xiongwu Xiao China Xiongwu Xiao's profile →
Citations per field
00.5×1.5×2.2×
Xiongwu Xiao · 1×
Citations per year

Countries citing papers authored by Xuning Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xuning Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019157
2
Photo-produced aromatic compounds stimulate microbial degradation of dissolved organic carbon in thermokarst lakes
Hit paper breakdown →
202388
3 201939
4 201933
5 202128
6 202113
7 202313
8 202312
9 201912
10 20226
11 20216
12 20206
13 20105
14 20105
15 20215
16 20225
17 20244
18 20264
19 20223
20 20123

About Xuning Liu

Xuning Liu is a scholar working on Safety, Risk, Reliability and Quality, Ocean Engineering, Atmospheric Science, Media Technology and Artificial Intelligence, having authored 38 papers that have together received 472 indexed citations. Recurring topics across this work include Geoscience and Mining Technology (8 papers), Coal Properties and Utilization (8 papers), Climate change and permafrost (5 papers), Machine Learning and ELM (4 papers), Electrowetting and Microfluidic Technologies (4 papers), Microbial Community Ecology and Physiology (4 papers), Remote Sensing and Land Use (3 papers) and Safety and Risk Management (2 papers). The work is most often cited by research in Media Technology (158 citations), Computer Vision and Pattern Recognition (152 citations), Atmospheric Science (116 citations), Oceanography (40 citations) and Ecology (83 citations). Xuning Liu has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Bing Liu, Jiaqi Zhao, Rui Yao, Yi Zheng, Yuanhe Yang, Leiyi Chen, Luyao Kang, Wei Qi Zhou, Jie Hu and Xuehui Feng. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Nature Communications, Neural Processing Letters, Global Change Biology and Optics and Lasers in Engineering.

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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