Xinmin Song

101 total papers · 1.1k total citations
74 papers, 771 citations indexed

About

Xinmin Song is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Xinmin Song has authored 74 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Control and Systems Engineering, 19 papers in Computer Networks and Communications and 19 papers in Artificial Intelligence. Recurrent topics in Xinmin Song's work include Stability and Control of Uncertain Systems (38 papers), Control Systems and Identification (27 papers) and Target Tracking and Data Fusion in Sensor Networks (18 papers). Xinmin Song is often cited by papers focused on Stability and Control of Uncertain Systems (38 papers), Control Systems and Identification (27 papers) and Target Tracking and Data Fusion in Sensor Networks (18 papers). Xinmin Song collaborates with scholars based in China, South Korea and Australia. Xinmin Song's co-authors include Ju H. Park, Huanshui Zhang, Xuehua Yan, Ben Niu, Zhenhua Wang, Ling Shi, Huaxiang Zhang, Huanqing Wang, Ding Wang and Peiyong Duan and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Xinmin Song

63 papers receiving 755 citations

Author Peers

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

Author						Papers	Cites
Xinmin Song	540	296	174	94	62	74	771
P. Sarachik	405 0.8×	162 0.5×	75 0.4×	135 1.4×	90 1.5×	38	716
Eduardo F. Costa	671 1.2×	151 0.5×	96 0.6×	113 1.2×	25 0.4×	88	784
Takashi Tanaka	470 0.9×	288 1.0×	183 1.1×	99 1.1×	85 1.4×	82	838
Α. Τitli	522 1.0×	139 0.5×	287 1.6×	88 0.9×	43 0.7×	78	869
Liguo Zhang	522 1.0×	157 0.5×	59 0.3×	48 0.5×	40 0.6×	118	779
Thang Nguyen	375 0.7×	159 0.5×	57 0.3×	103 1.1×	82 1.3×	81	755
N. Berman	460 0.9×	118 0.4×	239 1.4×	44 0.5×	250 4.0×	43	757
Bo‐Chao Zheng	682 1.3×	375 1.3×	51 0.3×	75 0.8×	25 0.4×	49	883
Jorge I. Poveda	537 1.0×	220 0.7×	62 0.4×	69 0.7×	35 0.6×	71	752
Oleg Granichin	157 0.3×	370 1.3×	174 1.0×	23 0.2×	71 1.1×	122	692

Countries citing papers authored by Xinmin Song

Since Specialization

Citations

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

Fields of papers citing papers by Xinmin Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinmin Song

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