Gongbo Tang

589 total citations
14 papers, 266 citations indexed

About

Gongbo Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Gongbo Tang has authored 14 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Gongbo Tang's work include Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers) and Multimodal Machine Learning Applications (4 papers). Gongbo Tang is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers) and Multimodal Machine Learning Applications (4 papers). Gongbo Tang collaborates with scholars based in Sweden, Switzerland and United Kingdom. Gongbo Tang's co-authors include Rico Sennrich, Annette Rios, Joakim Nivre, Eva Pettersson, Yves Scherrer, Jörg Tiedemann, Robert Östling, Christian Hardmeier, Qikai Lu and Yue Tian and has published in prestigious journals such as IEEE Access, Transactions of the Association for Computational Linguistics and Edinburgh Research Explorer (University of Edinburgh).

In The Last Decade

Gongbo Tang

11 papers receiving 245 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gongbo Tang Sweden	6	192	91	22	18	17	14	266
Sheng Zha United States	5	167 0.9×	91 1.0×	13 0.6×	9 0.5×	11 0.6×	9	251
Fuyu Wang China	6	129 0.7×	81 0.9×	22 1.0×	21 1.2×	6 0.4×	15	233
R Prasanna Kumar India	9	107 0.6×	35 0.4×	25 1.1×	8 0.4×	17 1.0×	57	249
Mohamed Eldesouki Egypt	9	182 0.9×	31 0.3×	29 1.3×	5 0.3×	17 1.0×	47	277
Zhihao Fan China	11	202 1.1×	162 1.8×	14 0.6×	7 0.4×	8 0.5×	35	309
Jindong Gu United Kingdom	7	149 0.8×	78 0.9×	11 0.5×	8 0.4×	20 1.2×	32	217
Ladislav Lenc Czechia	7	121 0.6×	122 1.3×	11 0.5×	11 0.6×	24 1.4×	27	226
Chengtai Cao China	6	208 1.1×	66 0.7×	25 1.1×	10 0.6×	16 0.9×	9	255
Hongyang Zhang China	7	178 0.9×	56 0.6×	12 0.5×	13 0.7×	17 1.0×	29	227

Countries citing papers authored by Gongbo Tang

Since Specialization

Citations

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

Fields of papers citing papers by Gongbo Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gongbo Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Gongbo Tang. A scholar is included among the top collaborators of Gongbo Tang 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 Gongbo Tang. Gongbo Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Tang, Gongbo, et al.. (2024). Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning. IEEE Access. 12. 77739–77749. 1 indexed citations

Lu, Qikai, Endong Xun, & Gongbo Tang. (2024). MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval. 5871–5883.

Tang, Gongbo, et al.. (2024). Chinese Text Simplification Based on Large Language Models. 52–56. 1 indexed citations

Tang, Gongbo & Christian Hardmeier. (2023). Parallel Data Helps Neural Entity Coreference Resolution. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

Tang, Gongbo, et al.. (2021). Revisiting Negation in Neural Machine Translation. Transactions of the Association for Computational Linguistics. 9. 740–755. 2 indexed citations

Tang, Gongbo. (2020). Understanding Neural Machine Translation : An investigation into linguistic phenomena and attention mechanisms. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

Tang, Gongbo, Rico Sennrich, & Joakim Nivre. (2020). Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English. 4251–4262. 5 indexed citations

Tang, Gongbo, Rico Sennrich, & Joakim Nivre. (2019). Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models. Edinburgh Research Explorer (University of Edinburgh). 1186–1193. 6 indexed citations

Tang, Gongbo, et al.. (2018). Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures. Edinburgh Research Explorer (University of Edinburgh). 4263–4272. 179 indexed citations

10.

Tang, Gongbo, et al.. (2018). An evaluation of neural machine translation models on historical spelling normalization. arXiv (Cornell University). 1320–1331. 14 indexed citations

11.

Tang, Gongbo, Rico Sennrich, & Joakim Nivre. (2018). An analysis of Attention Mechanism: The Case of Word Sense Disambiguation in Neural Machine Translation. 26–35. 2 indexed citations

12.

Tang, Gongbo, Rico Sennrich, & Joakim Nivre. (2018). An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation. Zurich Open Repository and Archive (University of Zurich). 26–35. 43 indexed citations

13.

Östling, Robert, et al.. (2017). The Helsinki Neural Machine Translation System. Työväentutkimus Vuosikirja. 338–347. 11 indexed citations

14.

Yu, Dong, et al.. (2014). An Introduction to BLCU Personal Attributes Extraction System. 120–125.

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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