Binhua Wang

710 citations
57 papers · 429 · h-index 13

Impact in

Papers in

Binhua Wang

50 papers receiving 409 citations

Peers

Binhua Wang
Comparison fields: 5 of 61
  • Language and Linguistics 199
  • General Health Professions 207
  • Immunology 98
  • Literature and Literary Theory 59
  • Artificial Intelligence 72
Replace Meixiu Zhang with:
Meixiu Zhang United States
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María Josep Cuenca Spain
Łucja Biel Poland
Javier Franco Aixelá Spain
Alexandra Assis Rosa Portugal
Masood Khoshsaligheh Iran
Outi Paloposki Finland
Julie McDonough Dolmaya Canada
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Citations per field
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Citations per year

Countries citing papers authored by Binhua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Binhua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Binhua Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Binhua Wang Line = papers co-authored together Binhua Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201246
2 201440
3 201738
4 201733
5 201423
6 201622
7 202220
8 200917
9 202116
10 201615
11 201715
12 202014
13 201512
14 201511
15 20238
16 20207
17 20237
18 20227
19 20166
20
Bridging the gap between interpreting classrooms and real-life interpreting
20155

About Binhua Wang

Binhua Wang is a scholar working on General Health Professions, Language and Linguistics, Artificial Intelligence, Literature and Literary Theory and Immunology, having authored 57 papers that have together received 429 indexed citations. Recurring topics across this work include Interpreting and Communication in Healthcare (42 papers), Translation Studies and Practices (29 papers), Natural Language Processing Techniques (7 papers), Discourse Analysis in Language Studies (7 papers), Language, Discourse, Communication Strategies (6 papers), interferon and immune responses (4 papers), Subtitles and Audiovisual Media (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Language and Linguistics (199 citations), General Health Professions (207 citations), Immunology (98 citations), Literature and Literary Theory (59 citations) and Artificial Intelligence (72 citations). Binhua Wang has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Dezheng Feng, Yuan Ping, Tao Li, Chonglong Gu, Gang Lin, Chengyu Hu, Huarong Chen, Weiwei Wang, Fang Wang and Yong Liu. Their work appears in journals such as Perspectives, Fish & Shellfish Immunology, Meta Journal des traducteurs, Language and Intercultural Communication and Linguistica Antverpiensia New Series – Themes in Translation Studies.

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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