Hang Su

85 total papers · 1.1k total citations
40 papers, 385 citations indexed

About

Hang Su is a scholar working on Literature and Literary Theory, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, Hang Su has authored 40 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Literature and Literary Theory, 27 papers in Language and Linguistics and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Hang Su's work include Discourse Analysis in Language Studies (28 papers), Language, Discourse, Communication Strategies (17 papers) and Language, Metaphor, and Cognition (14 papers). Hang Su is often cited by papers focused on Discourse Analysis in Language Studies (28 papers), Language, Discourse, Communication Strategies (17 papers) and Language, Metaphor, and Cognition (14 papers). Hang Su collaborates with scholars based in China, United Kingdom and United States. Hang Su's co-authors include Susan Hunston, Xiaofei Lu, Yijin Wu, Wen Ma, Linzi Li, Meng Huat Chau, Matteo Fuoli, Luyang Li, Qian He and Feng Jiang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Applied Linguistics and Journal of Pragmatics.

In The Last Decade

Hang Su

35 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Hang Su 266 231 144 55 44 40 385
Johanna Rendle‐Short 132 0.5× 253 1.1× 94 0.7× 21 0.4× 22 0.5× 31 401
Salla Kurhila 160 0.6× 294 1.3× 96 0.7× 19 0.3× 26 0.6× 21 367
Reza Abdi 212 0.8× 117 0.5× 105 0.7× 31 0.6× 84 1.9× 26 388
Helen Woodfield 188 0.7× 289 1.3× 66 0.5× 16 0.3× 38 0.9× 19 385
Agnes Murphy 52 0.2× 68 0.3× 67 0.5× 61 1.1× 51 1.2× 40 339
Tove Larsson 175 0.7× 168 0.7× 38 0.3× 139 2.5× 137 3.1× 48 375
Hamid Allami 166 0.6× 269 1.2× 68 0.5× 19 0.3× 58 1.3× 46 383
Christa van der Walt 231 0.9× 203 0.9× 32 0.2× 49 0.9× 46 1.0× 53 396
Martin Hewings 227 0.9× 200 0.9× 107 0.7× 58 1.1× 99 2.3× 33 381
Younhee Kim 97 0.4× 193 0.8× 62 0.4× 30 0.5× 94 2.1× 36 404

Countries citing papers authored by Hang Su

Since Specialization
Citations

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

Fields of papers citing papers by Hang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Su

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