Jin Xie

65 total papers · 791 total citations
42 papers, 589 citations indexed

About

Jin Xie is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Jin Xie has authored 42 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 7 papers in Control and Systems Engineering. Recurrent topics in Jin Xie's work include Machine Learning and ELM (14 papers), Neural Networks Stability and Synchronization (12 papers) and Distributed Control Multi-Agent Systems (9 papers). Jin Xie is often cited by papers focused on Machine Learning and ELM (14 papers), Neural Networks Stability and Synchronization (12 papers) and Distributed Control Multi-Agent Systems (9 papers). Jin Xie collaborates with scholars based in China, United States and France. Jin Xie's co-authors include Weisheng Chen, Ping Zhou, Hao Dai, Tianyou Chai, Hong Wang, Sanyang Liu, Jiping Liu, Wu Ai, Weifeng Gao and Jiaxi Chen and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Jin Xie

37 papers receiving 582 citations

Author Peers

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

Author						Papers	Cites
Jin Xie	230	149	139	111	67	42	589
Zeyin Zhang	248 1.1×	173 1.2×	91 0.7×	52 0.5×	32 0.5×	42	621
X.Z. Gao	293 1.3×	232 1.6×	106 0.8×	49 0.4×	66 1.0×	40	692
Xin Chen	170 0.7×	239 1.6×	184 1.3×	50 0.5×	94 1.4×	67	674
Qing Wu	218 0.9×	186 1.2×	198 1.4×	63 0.6×	131 2.0×	31	590
Adam� Zielonka	104 0.5×	95 0.6×	81 0.6×	122 1.1×	43 0.6×	61	580
Wei Luo	122 0.5×	154 1.0×	43 0.3×	86 0.8×	42 0.6×	46	615
Bin Liu	73 0.3×	204 1.4×	133 1.0×	102 0.9×	67 1.0×	96	575
A. Malinowski	217 0.9×	170 1.1×	67 0.5×	77 0.7×	30 0.4×	43	625
Dragan Pršić	120 0.5×	205 1.4×	49 0.4×	125 1.1×	41 0.6×	17	527
Genaro Ochoa	156 0.7×	304 2.0×	84 0.6×	64 0.6×	40 0.6×	18	605

Countries citing papers authored by Jin Xie

Since Specialization

Citations

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

Fields of papers citing papers by Jin Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Xie

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