Tang Jun

401 citations
25 papers · 99 · h-index 6

Impact in

Papers in

Tang Jun

20 papers receiving 90 citations

Peers

Tang Jun
Comparison fields: 5 of 59
  • Language and Linguistics 33
  • Cultural Studies 9
  • Horticulture 1
  • Biomaterials 11
  • Gender Studies 7
Replace María Isabel González Cruz with:
María Isabel González Cruz Spain
María Isabel Pozzo Argentina
Eka Apriani Indonesia
David Orrego-Carmona South Africa
Kelsi Matwick United States
John Humbley France
Thomas Niehr Germany
Entika Fani Prastikawati Indonesia
Siti Khasinah Indonesia
Rachel Hendery Australia
Tang Jun relative to María Isabel González Cruz Spain María Isabel González Cruz's profile →
Citations per field
00.5×4.5×
María Isabel González Cruz · 1×
Citations per year

Countries citing papers authored by Tang Jun

Since Specialization
Citations

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

Fields of papers citing papers by Tang Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tang Jun, 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 Tang Jun Line = papers co-authored together Tang Jun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200813
2 202213
3 200611
4 200910
5 20148
6 20226
7 20235
8 20074
9 20224
10 20204
11 20123
12 20173
13 20173
14 20163
15 20082
16 20222
17 20091
18
DNA fingerprints construction and genetic similarity analysis of conventional japonica rice from Taihu Lake area based on SSR markers.
20151
19
Tissue culture of medicinal plant Millettia speciosa Champ.
20101
20 20231

About Tang Jun

Tang Jun is a scholar working on Language and Linguistics, Artificial Intelligence, Cultural Studies, General Health Professions and Sociology and Political Science, having authored 25 papers that have together received 99 indexed citations. Recurring topics across this work include Translation Studies and Practices (6 papers), Asian Culture and Media Studies (3 papers), Interpreting and Communication in Healthcare (3 papers), Philippine History and Culture (2 papers), Advanced Software Engineering Methodologies (2 papers), Second Language Learning and Teaching (2 papers), Insect-Plant Interactions and Control (2 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Language and Linguistics (33 citations), Cultural Studies (9 citations), Horticulture (1 citation), Biomaterials (11 citations) and Gender Studies (7 citations). Tang Jun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Linda Wong, Edwin Gentzler, Wenfeng Guo, Wei Wang, Wei Gao, Nian Wang, Yaxin Zhang, Haiteng Tao, Lu Lu and Li Guo. Their work appears in journals such as Perspectives, Meta Journal des traducteurs, Industrial Crops and Products, Technology Analysis and Strategic Management and Journal of Visual Communication and Image Representation.

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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