Xiaocheng Li

1.7k citations
24 papers · 1.0k indexed · 2 hit papers · h-index 9

Xiaocheng Li

22 papers receiving 966 citations

Hit Papers

Advance...472017202620202023100200300

Peers

Xiaocheng Li
Comparison fields: 5 of 112
  • Computer Vision and Pattern Recognition 177
  • Ecology 194
  • Computational Theory and Mathematics 102
  • Plant Science 227
  • Analytical Chemistry 53
Replace José F. Rodrigues with:
José F. Rodrigues Brazil
Lu Liu China
Daming Li China
Gaofeng Zhang China
Tianen Chen China
Donghui Zhang China
Qingling Duan China
Xiaocheng Li relative to José F. Rodrigues Brazil José F. Rodrigues's profile →
Citations per field
00.5×4.1×
José F. Rodrigues · 1×
Citations per year

Countries citing papers authored by Xiaocheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaocheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Advances in MXene-based single-atom catalysts for electrocatalytic applicationsbreakdown →
202547
2 20252
3 20250
4 20234
5 20221
6 202146
7 20219
8 202117
9 20211
10 20200
11 20196
12 201810
13 20185
14 2018166
15 2017304
16 20165
17 20151
18 20158
19
Effect of simulated rainfall experiments on soil erosion and sediment yield of the undisturbed lands in Shendong coalfield
20132
20 20104

About Xiaocheng Li

Xiaocheng Li is a scholar working on Management Information Systems, Management Science and Operations Research and Computer Graphics and Computer-Aided Design, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (7 papers), Optimization and Search Problems (4 papers), Auction Theory and Applications (3 papers), Advanced Bandit Algorithms Research (3 papers), Credit Risk and Financial Regulations (2 papers), Advanced Queuing Theory Analysis (2 papers), Consumer Market Behavior and Pricing (2 papers) and Stochastic processes and financial applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (177 citations), Ecology (194 citations) and Computational Theory and Mathematics (102 citations). Xiaocheng Li has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Richard N. Zare, Zhenpeng Zhou, Stefano Ermon, David B. Lobell, Jiaxuan You, Silvio Savarese, Xiang Yu, Kuan Fang, Yinyu Ye and Alex Warstadt. Their work appears in journals such as Management Science, Coordination Chemistry Reviews and Operations Research.

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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