Xiaotao Nie

11 total papers · 1.4k total citations
4 papers, 350 citations indexed

About

Xiaotao Nie is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Xiaotao Nie has authored 4 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Materials Chemistry, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Xiaotao Nie's work include Nanocluster Synthesis and Applications (2 papers), Advanced Nanomaterials in Catalysis (2 papers) and Catalytic Processes in Materials Science (2 papers). Xiaotao Nie is often cited by papers focused on Nanocluster Synthesis and Applications (2 papers), Advanced Nanomaterials in Catalysis (2 papers) and Catalytic Processes in Materials Science (2 papers). Xiaotao Nie collaborates with scholars based in China, United States and Japan. Xiaotao Nie's co-authors include Rongchao Jin, Huifeng Qian, Hengyong Xu, Qingjie Ge, Chenjie Zeng, Xiangang Ma, Fangzhou Guo, Xiaolong Zhang, Wei Chen and Jiazhi Xia and has published in prestigious journals such as ACS Nano, Nanoscale and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Xiaotao Nie

4 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Xiaotao Nie	312	124	65	27	24	4	350
Lara Román Castellanos	197 0.6×	56 0.5×	13 0.2×	2 0.1×	13 0.5×	5	300
Mihail Bogojeski	186 0.6×	9 0.1×	23 0.4×	7 0.3×	17 0.7×	5	295
Tom Furnival	251 0.8×	20 0.2×	68 1.0×	6 0.2×	259 10.8×	5	391
Emily L. Albright	260 0.8×	101 0.8×	70 1.1×		51 2.1×	7	319
Joshua E. F. Weaver	279 0.9×	168 1.4×	36 0.6×		10 0.4×	4	357
Alexander Matthews	165 0.5×	10 0.1×	11 0.2×	2 0.1×	8 0.3×	5	322
Ian M. Pendleton	192 0.6×	24 0.2×	68 1.0×		21 0.9×	8	318
Natalie S. Eyke	248 0.8×	6 0.0×	38 0.6×	2 0.1×	24 1.0×	8	399
Dorothy Silverman	166 0.5×	56 0.5×	46 0.7×		11 0.5×	5	393
Khavinet Lourvanij	137 0.4×	77 0.6×	47 0.7×		9 0.4×	5	336

Countries citing papers authored by Xiaotao Nie

Since Specialization

Citations

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

Fields of papers citing papers by Xiaotao Nie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotao Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotao Nie. A scholar is included among the top collaborators of Xiaotao Nie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaotao Nie. Xiaotao Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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