Bin Bi

1.7k total citations
31 papers, 1.1k citations indexed

About

Bin Bi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Bin Bi has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Bin Bi's work include Topic Modeling (10 papers), Multimodal Machine Learning Applications (9 papers) and Natural Language Processing Techniques (9 papers). Bin Bi is often cited by papers focused on Topic Modeling (10 papers), Multimodal Machine Learning Applications (9 papers) and Natural Language Processing Techniques (9 papers). Bin Bi collaborates with scholars based in United States, China and Hong Kong. Bin Bi's co-authors include Shaoyong Lu, Xiaohui Liu, Xiaochun Guo, Ying Liu, Beidou Xi, Zhi Wang, Jian Zhang, Songfang Huang, Junghoo Cho and Pan Qin and has published in prestigious journals such as Environmental Pollution, Chemosphere and RSC Advances.

In The Last Decade

Bin Bi

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bin Bi United States	15	410	320	221	148	123	31	1.1k
Qi Han China	11	302 0.7×	72 0.2×	180 0.8×	69 0.5×	9 0.1×	19	839
Cong Ma China	8	257 0.6×	107 0.3×	80 0.4×	19 0.1×	13 0.1×	24	507
Lizeth Parra-Arroyo Mexico	16	186 0.5×	113 0.4×	15 0.1×	57 0.4×	8 0.1×	20	953
Priti Bansal India	15	46 0.1×	191 0.6×	64 0.3×	47 0.3×	39 0.3×	55	885
Zhu Zhu China	14	45 0.1×	52 0.2×	42 0.2×	37 0.3×	24 0.2×	59	738
Vivek Kumar Verma India	12	34 0.1×	102 0.3×	194 0.9×	65 0.4×	38 0.3×	54	690
Lianghao Li China	14	40 0.1×	188 0.6×	46 0.2×	18 0.1×	72 0.6×	23	638
Vinay Kumar Srivastava India	20	69 0.2×	44 0.1×	688 3.1×	44 0.3×	22 0.2×	180	1.7k
Xin Ma China	17	63 0.2×	144 0.5×	22 0.1×	12 0.1×	56 0.5×	59	1.1k

Countries citing papers authored by Bin Bi

Since Specialization

Citations

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

Fields of papers citing papers by Bin Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Bi

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

All Works

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20 of 20 papers shown

He, Jun, et al.. (2024). The application of artificial intelligence in diagnosis of Alzheimer’s disease: a bibliometric analysis. Frontiers in Neurology. 15. 1510729–1510729. 6 indexed citations

Xu, Haiyang, Wei Ye, Qinghao Ye, et al.. (2023). COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment. 4480–4491. 7 indexed citations

Li, Chenliang, Haiyang Xu, Junfeng Tian, et al.. (2022). mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. 7241–7259. 90 indexed citations

Guo, Xiaochun, et al.. (2022). Multi-Media Occurrence of Antibiotics and Antibiotic Resistance Genes in East Dongting Lake. Frontiers in Environmental Science. 10. 19 indexed citations

Xu, Haiyang, Chenliang Li, Ming Yan, et al.. (2022). TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. 4084–4096. 5 indexed citations

Zhang, Jing, et al.. (2022). Performance of wetland applied to ecological remediation of abandoned fish ponds: A case study in Gonghu Bay, Tai lake. Chemosphere. 316. 137698–137698. 4 indexed citations

Li, Chenliang, Bin Bi, Ming Yan, Wei Wang, & Songfang Huang. (2021). Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. 942–947. 9 indexed citations

Xu, Haiyang, Ming Yan, Chenliang Li, et al.. (2021). E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. 503–513. 52 indexed citations

He, Jun, et al.. (2021). Identification of key genes and crucial pathways for major depressive disorder using peripheral blood samples and chronic unpredictable mild stress rat models. PeerJ. 9. e11694–e11694. 4 indexed citations

10.

Li, Chenliang, Bin Bi, Ming Yan, et al.. (2021). StructuralLM: Structural Pre-training for Form Understanding. 6309–6318. 56 indexed citations

11.

Bi, Bin, et al.. (2020). Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 7424–7431. 2 indexed citations

12.

Yan, Ming, Chenliang Li, Chen Wu, et al.. (2019). IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling.. Text REtrieval Conference. 14 indexed citations

13.

Liu, Xiaohui, Xiaochun Guo, Ying Liu, et al.. (2019). A review on removing antibiotics and antibiotic resistance genes from wastewater by constructed wetlands: Performance and microbial response. Environmental Pollution. 254(Pt A). 112996–112996. 268 indexed citations

14.

Qin, Pan, et al.. (2019). Effect of natural zeolite capping on phosphorus release from sediments. Desalination and Water Treatment. 165. 97–102.

15.

Bi, Bin, et al.. (2019). Incorporating External Knowledge into Machine Reading for Generative Question Answering. 30 indexed citations

16.

Liu, Xiaohui, Guodong Zhang, Ying Liu, et al.. (2018). Occurrence and fate of antibiotics and antibiotic resistance genes in typical urban water of Beijing, China. Environmental Pollution. 246. 163–173. 241 indexed citations

17.

Wang, Weiliang, Ying Liu, Xiaohui Liu, et al.. (2018). Equilibrium adsorption study of the adsorptive removal of Cd2+ and Cr6+ using activated carbon. Environmental Science and Pollution Research. 25(25). 25538–25550. 26 indexed citations

18.

Bi, Bin, Hao Ma, Bo-June Hsu, et al.. (2015). Learning to Recommend Related Entities to Search Users. 139–148. 22 indexed citations

19.

Bi, Bin, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, & Junghoo Cho. (2014). Scalable topic-specific influence analysis on microblogs. 513–522. 51 indexed citations

20.

Li, Ruirui, Ben Kao, Bin Bi, Reynold Cheng, & Eric Lo. (2012). DQR. The HKU Scholars Hub (University of Hong Kong). 16–25. 15 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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