Xiaodi Liu

93 papers receiving 1.6k citations

Peers

Xiaodi Liu
Comparison fields: 5 of 118
  • Management Science and Operations Research 668
  • Water Science and Technology 91
  • Animal Science and Zoology 48
  • Human-Computer Interaction 30
  • Atmospheric Science 53
Replace Arun Sharma with:
Arun Sharma India
Rajeev Ranjan Kumar India
Ting‐Yu Chen Taiwan
Qurat Ul Ain Pakistan
Luíz Paulo Lopes Fávero Brazil
Lan Ge Netherlands
Lihua Huang China
Asaf Tzachor United Kingdom
Paulo Canas Rodrigues Brazil
Pradeep Mishra India
Xiaodi Liu relative to Arun Sharma India Arun Sharma's profile →
Citations per field
00.5×5×10.1×
Arun Sharma · 1×
Citations per year

Countries citing papers authored by Xiaodi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 201994
3 201756
4 201956
5 201954
6 202152
7 202250
8 201841
9 202340
10 201738
11 202036
12 202032
13 202231
14 202431
15 202030
16 201928
17 202128
18 201926
19 201925
20 202325

About Xiaodi Liu

Xiaodi Liu is a scholar working on Management Science and Operations Research, Plant Science, Atmospheric Science, Animal Science and Zoology and Soil Science, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (45 papers), Mycorrhizal Fungi and Plant Interactions (11 papers), Atmospheric chemistry and aerosols (4 papers), Lichen and fungal ecology (3 papers), Animal Virus Infections Studies (3 papers), Cognitive Science and Mapping (3 papers), Misinformation and Its Impacts (3 papers) and Soil Carbon and Nitrogen Dynamics (3 papers). The work is most often cited by research in Management Science and Operations Research (668 citations), Water Science and Technology (91 citations), Animal Science and Zoology (48 citations), Human-Computer Interaction (30 citations) and Atmospheric Science (53 citations). Xiaodi Liu has collaborated with scholars based in China, India and Türkiye. Frequent co-authors include Shitao Zhang, Zengwen Wang, Jianjun Zhu, Harish Garg, Honghui Zhu, Zengwei Feng, Qing Yao, Weiping Ding, Michael Freitag and Zhenzhen Ma. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Expert Systems with Applications, Information Fusion, Adaptive Behavior and Journal of Intelligent & Fuzzy Systems.

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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