Xiulan Wen

67 total papers · 609 total citations
43 papers, 463 citations indexed

About

Xiulan Wen is a scholar working on Mechanical Engineering, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Xiulan Wen has authored 43 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanical Engineering, 13 papers in Control and Systems Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Xiulan Wen's work include Advanced Measurement and Metrology Techniques (17 papers), Iterative Learning Control Systems (8 papers) and Advanced machining processes and optimization (7 papers). Xiulan Wen is often cited by papers focused on Advanced Measurement and Metrology Techniques (17 papers), Iterative Learning Control Systems (8 papers) and Advanced machining processes and optimization (7 papers). Xiulan Wen collaborates with scholars based in China, United States and Bangladesh. Xiulan Wen's co-authors include Yibing Zhao, Aiguo Song, Fenglin Wang, Aiguo Song, Dongxia Wang, Jiacai Huang, Guifang Qiao, Xiaoqun Zhang, Chunyu Zeng and Chunjiang Fu and has published in prestigious journals such as Medicine, International Journal of Machine Tools and Manufacture and Frontiers in Neuroscience.

In The Last Decade

Xiulan Wen

42 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Xiulan Wen	282	142	132	93	71	43	463
Craig M. Shakarji	205 0.7×	121 0.9×	180 1.4×	131 1.4×	18 0.3×	41	524
Ping Yang	197 0.7×	92 0.6×	82 0.6×	28 0.3×	87 1.2×	58	531
Yingjie Zhang	192 0.7×	92 0.6×	186 1.4×	184 2.0×	47 0.7×	40	501
Teng Long	230 0.8×	41 0.3×	149 1.1×	125 1.3×	76 1.1×	23	451
Qifu Wang	91 0.3×	141 1.0×	20 0.2×	116 1.2×	21 0.3×	48	464
Bing Wei	48 0.2×	63 0.4×	156 1.2×	203 2.2×	64 0.9×	47	533
Tao Zan	315 1.1×	33 0.2×	23 0.2×	109 1.2×	191 2.7×	49	517
Limin Tang	155 0.5×	40 0.3×	18 0.1×	59 0.6×	45 0.6×	59	518
Liang Ma	163 0.6×	21 0.1×	140 1.1×	46 0.5×	260 3.7×	52	541
Jean Louis Duval	169 0.6×	63 0.4×	22 0.2×	55 0.6×	52 0.7×	31	483

Countries citing papers authored by Xiulan Wen

Since Specialization

Citations

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

Fields of papers citing papers by Xiulan Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiulan Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiulan Wen. A scholar is included among the top collaborators of Xiulan Wen 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 Xiulan Wen. Xiulan Wen 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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