Bo Long

667 total citations
23 papers, 406 citations indexed

About

Bo Long is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Bo Long has authored 23 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Bo Long's work include Topic Modeling (6 papers), Complex Network Analysis Techniques (6 papers) and Text and Document Classification Technologies (4 papers). Bo Long is often cited by papers focused on Topic Modeling (6 papers), Complex Network Analysis Techniques (6 papers) and Text and Document Classification Technologies (4 papers). Bo Long collaborates with scholars based in United States, China and United Kingdom. Bo Long's co-authors include Philip S. Yu, Zhongfei Zhang, Zhongfei Mark Zhang, Tian-Bing Xu, Anlei Dong, Yi Chang, Huiji Gao, Wu Xiaoyun, Yongqiang Chen and Weiwei Guo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and Electronics.

In The Last Decade

Bo Long

22 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Long United States 11 258 126 114 96 50 23 406
Mostafa Haghir Chehreghani Iran 10 178 0.7× 69 0.5× 90 0.8× 79 0.8× 50 1.0× 40 294
Yinglong Xia United States 13 326 1.3× 96 0.8× 85 0.7× 87 0.9× 33 0.7× 53 437
Jianye Yang China 9 132 0.5× 104 0.8× 32 0.3× 49 0.5× 85 1.7× 28 269
Manjeet Rege United States 10 198 0.8× 136 1.1× 48 0.4× 118 1.2× 45 0.9× 39 361
Chenyang Bu China 12 319 1.2× 55 0.4× 70 0.6× 60 0.6× 18 0.4× 54 436
Javad Azimi United States 9 225 0.9× 117 0.9× 30 0.3× 57 0.6× 34 0.7× 19 353
Deepak Ajwani Ireland 9 101 0.4× 54 0.4× 23 0.2× 45 0.5× 47 0.9× 31 244
Gabriela Jacques-Silva United States 12 149 0.6× 93 0.7× 128 1.1× 142 1.5× 67 1.3× 21 450

Countries citing papers authored by Bo Long

Since Specialization
Citations

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

Fields of papers citing papers by Bo Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Long

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

All Works

20 of 20 papers shown
2.
Shen, Kai, Lingfei Wu, Siliang Tang, et al.. (2024). Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9648–9660.
3.
Zhang, Han, et al.. (2022). Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 4424–4428. 6 indexed citations
4.
Deng, Xiang, et al.. (2022). Reducing Flipping Errors in Deep Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 36(6). 6506–6514. 1 indexed citations
5.
Fan, Xiaochuan, Chi Zhang, Yong Yang, et al.. (2022). Automatic Generation of Product-Image Sequence in E-commerce. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2851–2859. 4 indexed citations
6.
Guo, Weiwei, Xiaowei Liu, Sida Wang, et al.. (2020). DeText. 2509–2516. 13 indexed citations
7.
Long, Bo, et al.. (2020). Deep Natural Language Processing for Search and Recommendation. 2461–2463. 1 indexed citations
8.
Guo, Weiwei, Huiji Gao, Jun Shi, & Bo Long. (2019). Deep Natural Language Processing for Search Systems. 1405–1406. 1 indexed citations
9.
Guo, Weiwei, Huiji Gao, Jun Shi, et al.. (2019). Deep Natural Language Processing for Search and Recommender Systems. 3199–3200. 14 indexed citations
10.
Bahadori, Mohammad Taha, Yi Chang, Bo Long, & Yan Liu. (2014). Scalable heterogeneous transfer ranking. 214–228. 1 indexed citations
11.
Huang, Zhiheng, Yi Chang, Bo Long, et al.. (2012). Iterative Viterbi A* Algorithm for K-Best Sequential Decoding. Meeting of the Association for Computational Linguistics. 611–619. 11 indexed citations
12.
Long, Bo, et al.. (2012). Pairwise cross-domain factor model for heterogeneous transfer ranking. 113–122. 5 indexed citations
13.
Long, Bo, Jiang Bian, Anlei Dong, & Yi Chang. (2012). Enhancing product search by best-selling prediction in e-commerce. 2479–2482. 17 indexed citations
14.
Chen, Yongqiang, Bo Long, & Lei Xiao. (2011). The Battery State of Charge Estimation Based Weighted Least Squares Support Vector Machine. 1–4. 16 indexed citations
15.
Xu, Yi, et al.. (2011). Pattern change discovery between high dimensional data sets. 1097–1106. 3 indexed citations
16.
Xu, Tian-Bing, Zhongfei Zhang, Philip S. Yu, & Bo Long. (2008). Dirichlet Process Based Evolutionary Clustering. 648–657. 31 indexed citations
17.
Long, Bo, Zhongfei Zhang, Wu Xiaoyun, & Philip S. Yu. (2007). Relational clustering by symmetric convex coding. 569–576. 19 indexed citations
18.
Long, Bo, Zhongfei Mark Zhang, & Philip S. Yu. (2007). A probabilistic framework for relational clustering. 470–479. 85 indexed citations
19.
Long, Bo, Zhongfei Zhang, & Philip S. Yu. (2006). Combining Multiple Clusterings by Soft Correspondence. 282–289. 27 indexed citations
20.
Long, Bo, Zhongfei Zhang, & Philip S. Yu. (2005). Co-clustering by block value decomposition. 635–640. 123 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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