Yongbin Liu

482 total citations
35 papers, 266 citations indexed

About

Yongbin Liu is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yongbin Liu has authored 35 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 5 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yongbin Liu's work include Topic Modeling (22 papers), Natural Language Processing Techniques (14 papers) and Advanced Text Analysis Techniques (6 papers). Yongbin Liu is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (14 papers) and Advanced Text Analysis Techniques (6 papers). Yongbin Liu collaborates with scholars based in China, United States and Singapore. Yongbin Liu's co-authors include Wen Wen, Juanzi Li, Qiang Lin, Yi Bu, Xiang‐Long Chen, Jie Tang, Mingyang Li, Peng Zhang, Dongsheng Zhang and Zhigang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Environmental Research and Public Health.

In The Last Decade

Yongbin Liu

31 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongbin Liu China	10	203	40	31	29	23	35	266
Łukasz Bolikowski Poland	8	123 0.6×	27 0.7×	52 1.7×	28 1.0×	73 3.2×	18	218
Deepak Nathani United States	5	360 1.8×	24 0.6×	53 1.7×	70 2.4×	44 1.9×	6	399
Sahar Vahdati Germany	9	149 0.7×	37 0.9×	34 1.1×	22 0.8×	34 1.5×	28	224
Yongduo Sui China	7	187 0.9×	11 0.3×	39 1.3×	9 0.3×	44 1.9×	17	228
Yuning You United States	6	143 0.7×	37 0.9×	36 1.2×	8 0.3×	37 1.6×	8	190
Siwei Rao China	3	343 1.7×	18 0.5×	36 1.2×	104 3.6×	43 1.9×	6	364
Yizhu Jiao United States	7	250 1.2×	25 0.6×	38 1.2×	14 0.5×	104 4.5×	22	299
Jean-Charles Lamirel France	8	142 0.7×	22 0.6×	37 1.2×	12 0.4×	57 2.5×	43	213
Mosha Chen China	13	509 2.5×	59 1.5×	47 1.5×	76 2.6×	67 2.9×	19	543
Braden Hancock United States	7	139 0.7×	31 0.8×	25 0.8×	21 0.7×	36 1.6×	9	191

Countries citing papers authored by Yongbin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yongbin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongbin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongbin Liu. A scholar is included among the top collaborators of Yongbin Liu 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 Yongbin Liu. Yongbin Liu 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:

20 of 20 papers shown

Wang, Na, Yu Li, Ning Jin, et al.. (2025). Genome Selection for Fleece Traits in Inner Mongolia Cashmere Goats Based on GWAS Prior Marker Information. Animals. 15(21). 3184–3184.

Liu, Yongbin, et al.. (2025). DyLas: A dynamic label alignment strategy for large-scale multi-label text classification. Information Fusion. 120. 103081–103081. 9 indexed citations

Liu, Yongbin, et al.. (2024). Improving Few-Shot Named Entity Recognition with Causal Interventions. Big Data Mining and Analytics. 7(4). 1375–1395. 3 indexed citations

Ding, Long, et al.. (2024). Few-shot Named Entity Recognition via encoder and class intervention. SHILAP Revista de lepidopterología. 5. 39–45. 1 indexed citations

Liu, Yongbin, et al.. (2023). Counterfactual can be strong in medical question and answering. Information Processing & Management. 60(4). 103408–103408. 9 indexed citations

Liu, Yongbin, et al.. (2023). Causal Intervention-based Few-Shot Named Entity Recognition. 15635–15646. 4 indexed citations

Liu, Yongbin, et al.. (2023). CoVariance-based Causal Debiasing for Entity and Relation Extraction. 2627–2640. 1 indexed citations

Wen, Wen, et al.. (2023). Few-shot Named Entity Recognition with Joint Token and Sentence Awareness. Data Intelligence. 5(3). 767–785. 5 indexed citations

Zhang, Linlin, et al.. (2023). Multimodal contrastive representation learning for drug-target binding affinity prediction. Methods. 220. 126–133. 12 indexed citations

10.

Qi, Guilin, et al.. (2022). Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy. Communications in computer and information science. 2 indexed citations

11.

Liu, Yongbin, et al.. (2021). Capturing semantic features to improve Chinese event detection. CAAI Transactions on Intelligence Technology. 7(2). 219–227. 7 indexed citations

12.

Zhang, Jing, et al.. (2021). P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion. 385–394. 16 indexed citations

13.

Chen, Xiang‐Long, et al.. (2020). Improving the Named Entity Recognition of Chinese Electronic Medical Records by Combining Domain Dictionary and Rules. International Journal of Environmental Research and Public Health. 17(8). 2687–2687. 19 indexed citations

14.

Liu, Yongbin, et al.. (2019). Monotonic alignments for summarization. Knowledge-Based Systems. 192. 105363–105363. 4 indexed citations

15.

Xu, Bin, et al.. (2017). How do pronouns affect word embedding. Tsinghua Science & Technology. 22(6). 586–594.

16.

Tong, Ling, et al.. (2017). Evaluating the granularity balance of hierarchical relationships within large biomedical terminologies towards quality improvement. Journal of Biomedical Informatics. 75. 129–137. 7 indexed citations

17.

Liu, Yongbin, et al.. (2016). A CUBIC-Based Explicit Congestion Control Mechanism in Named Data Networking. 13. 360–363. 11 indexed citations

18.

Liu, Yongbin, et al.. (2016). A multiclass classification model for stock news based on structured data. 1. 72–78. 5 indexed citations

19.

Hu, Linmei, Mengdi Zhang, Juanzi Li, et al.. (2015). Learning Topic Hierarchies for Wikipedia Categories. 346–351. 3 indexed citations

20.

Wang, Zhigang, Juanzi Li, Zhichun Wang, et al.. (2013). XLore: a large-scale English-Chinese Bilingual knowledge graph. International Semantic Web Conference. 121–124. 39 indexed citations

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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