Xiaojuan Ning

64 papers receiving 606 citations

Peers

Xiaojuan Ning
Comparison fields: 5 of 89
  • Ceramics and Composites 171
  • Geology 117
  • Environmental Engineering 126
  • Mechanical Engineering 257
  • Computer Vision and Pattern Recognition 139
Replace Haiting Xia with:
Haiting Xia China
Norman Uhlmann Germany
Jong-Han Lee South Korea
Tingyang Chen China
Jean-Claude Krapez France
Haobo Cheng China
Charles Josserond France
Yicheng Li China
Hossein Izadi Iran
Xiaojuan Ning relative to Haiting Xia China Haiting Xia's profile →
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Citations per year

Countries citing papers authored by Xiaojuan Ning

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojuan Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201853
2 200942
3 199240
4 199639
5 199733
6 199427
7 199723
8 199223
9 199322
10 200720
11 201319
12 200818
13 201417
14 199016
15 199116
16 202315
17 201613
18 199411
19 199310
20 20229

About Xiaojuan Ning

Xiaojuan Ning is a scholar working on Mechanical Engineering, Computer Vision and Pattern Recognition, Environmental Engineering, Ceramics and Composites and Geology, having authored 70 papers that have together received 633 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (18 papers), Aluminum Alloys Composites Properties (18 papers), 3D Surveying and Cultural Heritage (17 papers), Advanced ceramic materials synthesis (17 papers), 3D Shape Modeling and Analysis (13 papers), Aluminum Alloy Microstructure Properties (9 papers), Computer Graphics and Visualization Techniques (9 papers) and Image Processing and 3D Reconstruction (7 papers). The work is most often cited by research in Ceramics and Composites (171 citations), Geology (117 citations), Environmental Engineering (126 citations), Mechanical Engineering (257 citations) and Computer Vision and Pattern Recognition (139 citations). Xiaojuan Ning has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Jianhua Pan, Xiaopeng Zhang, Ke Hu, Yinghui Wang, Yinghui Wang, Ge Tian, Hideharu Fukunaga, Z.Y. Ma, Fan Li and Jixiang Li. Their work appears in journals such as Optical Engineering, Journal of Materials Science, Philosophical magazine. A/Philosophical magazine. A. Physics of condensed matter. Structure, defects and mechanical properties, Materials Letters and IEEE Access.

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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