Bofang Li

563 total citations
16 papers, 258 citations indexed

About

Bofang Li is a scholar working on Artificial Intelligence, Information Systems and Ceramics and Composites. According to data from OpenAlex, Bofang Li has authored 16 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Ceramics and Composites. Recurrent topics in Bofang Li's work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (4 papers). Bofang Li is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Advanced Text Analysis Techniques (4 papers). Bofang Li collaborates with scholars based in China, Japan and United States. Bofang Li's co-authors include Aleksandr Drozd, Xiaoyong Du, Tao Liu, Anna Rogers, Zhe Zhao, Li Shen, Chenliang Li, Hongbo Deng, Rong Xiao and Zhenzhong Chen and has published in prestigious journals such as Journal of Material Science and Technology, Journal of Electronic Materials and Data Science and Engineering.

In The Last Decade

Bofang Li

16 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bofang Li China 9 217 53 31 19 13 16 258
Tim Vieira United States 8 229 1.1× 39 0.7× 34 1.1× 7 0.4× 14 1.1× 20 263
Ryohei Sasano Japan 11 282 1.3× 42 0.8× 48 1.5× 6 0.3× 7 0.5× 50 320
Xinxiong Chen China 6 411 1.9× 86 1.6× 40 1.3× 9 0.5× 8 0.6× 11 443
Alexandre Passos United States 5 425 2.0× 30 0.6× 45 1.5× 9 0.5× 10 0.8× 12 455
Luchen Tan Canada 9 104 0.5× 61 1.2× 24 0.8× 11 0.6× 12 0.9× 20 156
Lianzhe Huang China 5 288 1.3× 41 0.8× 27 0.9× 8 0.4× 7 0.5× 5 319
Eric Nalisnick United States 7 173 0.8× 47 0.9× 42 1.4× 9 0.5× 7 0.5× 19 214
Adam Winkel United States 5 246 1.1× 85 1.6× 27 0.9× 14 0.7× 14 1.1× 6 284
Baoyu Jing United States 10 227 1.0× 42 0.8× 31 1.0× 11 0.6× 18 1.4× 18 276
Tereza Iofciu Germany 7 151 0.7× 117 2.2× 27 0.9× 22 1.2× 18 1.4× 14 206

Countries citing papers authored by Bofang Li

Since Specialization
Citations

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

Fields of papers citing papers by Bofang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bofang Li

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

All Works

16 of 16 papers shown
1.
Li, Bofang, Xubin Li, Hongbo Deng, et al.. (2023). Multi-Scenario Ranking with Adaptive Feature Learning. arXiv (Cornell University). 517–526. 5 indexed citations
2.
3.
Li, Bofang, Chenliang Li, Rong Xiao, et al.. (2020). Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. 2165–2168. 2 indexed citations
4.
5.
Li, Bofang, et al.. (2019). Scaling Word2Vec on Big Corpus. Data Science and Engineering. 4(2). 157–175. 41 indexed citations
6.
Li, Bofang, Aleksandr Drozd, Tao Liu, & Xiaoyong Du. (2018). Subword-level Composition Functions for Learning Word Embeddings. 38–48. 15 indexed citations
7.
Li, Bofang, et al.. (2018). Subcharacter Information in Japanese Embeddings: When Is It Worth It?. 28–37. 7 indexed citations
8.
Rogers, Anna, Aleksandr Drozd, & Bofang Li. (2017). The (too Many) Problems of Analogical Reasoning with Word Vectors. 44 indexed citations
9.
Li, Bofang, et al.. (2017). Neural Bag-of-Ngrams. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 3 indexed citations
10.
Zhao, Zhe, Tao Liu, Li Shen, Bofang Li, & Xiaoyong Du. (2017). Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics. 244–253. 40 indexed citations
11.
Li, Bofang, Tao Liu, Zhe Zhao, et al.. (2017). Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. 2421–2431. 14 indexed citations
12.
Zhao, Zhe, Tao Liu, Li Shen, Bofang Li, & Xiaoyong Du. (2017). Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis. Data Science and Engineering. 2(2). 178–186. 10 indexed citations
13.
Li, Bofang, et al.. (2016). Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification.. International Conference on Computational Linguistics. 1591–1600. 9 indexed citations
14.
Sun, Hui‐Chuan, et al.. (2014). YOJ: An online judge system designed for programming courses. 812–816. 8 indexed citations
15.
Ma, Yan, et al.. (2012). Preparation of Ag Nanocomposite Tellurite Glass by Solid-State Field-Assisted Diffusion. Journal of Electronic Materials. 41(4). 646–650. 7 indexed citations
16.
Lin, Jian, et al.. (2009). Preparation of AgCl Nano-Crystal Embedded Tellurite Nonlinear Optical Glasses under Electric Field Accompanied Heat Treatment. Journal of Material Science and Technology. 24(6). 863–866. 1 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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