Sichao Song

34 total papers · 618 total citations
25 papers, 412 citations indexed

About

Sichao Song is a scholar working on Social Psychology, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Sichao Song has authored 25 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Social Psychology, 11 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Sichao Song's work include Social Robot Interaction and HRI (14 papers), AI in Service Interactions (11 papers) and Robotics and Automated Systems (8 papers). Sichao Song is often cited by papers focused on Social Robot Interaction and HRI (14 papers), AI in Service Interactions (11 papers) and Robotics and Automated Systems (8 papers). Sichao Song collaborates with scholars based in Japan, Hong Kong and Norway. Sichao Song's co-authors include Ross Murch, Seiji Yamada, Jun Baba, Hiroshi Ishiguro, Yuichiro Yoshikawa, Junya Nakanishi, Ying Sun, Daniel P. Palomar, Shanpu Shen and Man Wong and has published in prestigious journals such as IEEE Transactions on Antennas and Propagation, Journal of Microelectromechanical Systems and IEEE Robotics and Automation Letters.

In The Last Decade

Sichao Song

20 papers receiving 398 citations

Author Peers

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

Author						Papers	Cites
Sichao Song	162	156	139	105	50	25	412
Benjamin Johnston	144 0.9×	65 0.4×	38 0.3×	77 0.7×	32 0.6×	49	486
Sebastian Lang	53 0.3×	139 0.9×	58 0.4×	106 1.0×	98 2.0×	19	444
Dominik Joho	103 0.6×	140 0.9×	103 0.7×	99 0.9×	102 2.0×	13	398
J. Fritsch	34 0.2×	143 0.9×	64 0.5×	125 1.2×	126 2.5×	26	478
Jae‐Eun Shin	85 0.5×	48 0.3×	23 0.2×	31 0.3×	24 0.5×	38	427
Travis Deyle	154 1.0×	78 0.5×	102 0.7×	75 0.7×	115 2.3×	22	494
P. Jarske	104 0.6×	42 0.3×	106 0.8×	15 0.1×	19 0.4×	23	457
Manfred Lang	199 1.2×	37 0.2×	12 0.1×	90 0.9×	36 0.7×	63	478
Marcus Kleinehagenbrock	58 0.4×	177 1.1×	67 0.5×	131 1.2×	132 2.6×	18	486
Eric Martinson	68 0.4×	76 0.5×	54 0.4×	97 0.9×	56 1.1×	37	392

Countries citing papers authored by Sichao Song

Since Specialization

Citations

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

Fields of papers citing papers by Sichao Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sichao Song

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