Xingcheng Ding

25 papers receiving 352 citations

Peers

Xingcheng Ding
Comparison fields: 5 of 56
  • Industrial and Manufacturing Engineering 156
  • Inorganic Chemistry 164
  • Pollution 43
  • Water Science and Technology 43
  • Analytical Chemistry 29
Replace А. В. Воронина with:
А. В. Воронина Russia
Lin Mu China
Vanesa N. Salomone Argentina
Matheus F. Pedrotti Brazil
Yanru Liang China
Manja Vogel Germany
Qingxiang Xiao China
Zhenping Tang China
Xianjin Lyu China
Charlotte Nilsson Sweden
Xingcheng Ding relative to А. В. Воронина Russia А. В. Воронина's profile →
Citations per field
00.5×9.7×
А. В. Воронина · 1×
Citations per year

Countries citing papers authored by Xingcheng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xingcheng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015112
2 201634
3 200826
4 200622
5 201821
6 200915
7 200714
8 201114
9 201413
10 200610
11 201010
12 20069
13 20189
14 20149
15 20247
16 20085
17 20055
18 20233
19 20113
20 20083

About Xingcheng Ding

Xingcheng Ding is a scholar working on Industrial and Manufacturing Engineering, Inorganic Chemistry, Radiology, Nuclear Medicine and Imaging, Mechanics of Materials and Pollution, having authored 27 papers that have together received 355 indexed citations. Recurring topics across this work include Chemical Synthesis and Characterization (15 papers), Radioactive element chemistry and processing (11 papers), Boron Compounds in Chemistry (8 papers), Muon and positron interactions and applications (4 papers), Pesticide and Herbicide Environmental Studies (4 papers), Fungal Plant Pathogen Control (3 papers), Analytical chemistry methods development (3 papers) and Weed Control and Herbicide Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (156 citations), Inorganic Chemistry (164 citations), Pollution (43 citations), Water Science and Technology (43 citations) and Analytical Chemistry (29 citations). Xingcheng Ding has collaborated with scholars based in China, Japan and Switzerland. Frequent co-authors include Xunyue Liu, Masao Nomura, Yasuhiko Fujii, Tilong Yang, Chao Xu, Xia Chen, Jingjing Wang, Tatsuya Suzuki, Xia Chen and Anyun Zhang. Their work appears in journals such as Journal of Nuclear Science and Technology, Progress in Nuclear Energy, Journal of Chromatography A, Chromatographia and Environmental Monitoring and Assessment.

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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