Bang Liu

1.0k total citations
55 papers, 451 citations indexed

About

Bang Liu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bang Liu has authored 55 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 11 papers in Electrical and Electronic Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bang Liu's work include Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers) and Advanced Text Analysis Techniques (6 papers). Bang Liu is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers) and Advanced Text Analysis Techniques (6 papers). Bang Liu collaborates with scholars based in China, Canada and United States. Bang Liu's co-authors include Di Niu, Jing Yu, Qi Wu, Mingxin Cui, Yangyang Ding, Yue Hu, Santiago Miret, Yefeng Zheng, Hong Huang and Lingfei Wu and has published in prestigious journals such as Optics Letters, Optics Express and Knowledge-Based Systems.

In The Last Decade

Bang Liu

48 papers receiving 441 citations

Peers

Bang Liu
Bingzhe Wu China
Shuqiang Yang China
Jiangtao Ma China
Xiaozhang Liu China
Haoming Jiang United States
Yanxiang Huang Belgium
Xinyue Wang China
Christian Hentschel Germany
Bingzhe Wu China
Bang Liu
Citations per year, relative to Bang Liu Bang Liu (= 1×) peers Bingzhe Wu

Countries citing papers authored by Bang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Bang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Bang Liu. A scholar is included among the top collaborators of Bang 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 Bang Liu. Bang Liu 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
1.
Yuan, Xingdi, et al.. (2024). OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. 622–636. 3 indexed citations
2.
Zhang, Huan, et al.. (2024). HoneyComb: A Flexible LLM-Based Agent System for Materials Science. 3369–3382. 12 indexed citations
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6.
Zhang, Zhong, Bang Liu, & Junming Shao. (2023). Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. 1701–1713. 1 indexed citations
7.
Miret, Santiago, et al.. (2023). HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science. 5724–5739. 9 indexed citations
8.
Song, Yu, Santiago Miret, & Bang Liu. (2023). MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling. 3621–3639. 11 indexed citations
9.
Wang, Xiaoqiang, Bang Liu, Siliang Tang, & Lingfei Wu. (2023). SkillQG: Learning to Generate Question for Reading Comprehension Assessment. 13833–13850. 1 indexed citations
10.
Chen, Yuyan, Zhengyu Chen, Wei Wu, et al.. (2023). MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. 3279–3304. 7 indexed citations
11.
Jiang, Wangjie, Zhihao Ye, Bang Liu, et al.. (2023). ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification. 2275–2284. 2 indexed citations
12.
Lu, Peng, et al.. (2023). Efficient Classification of Long Documents via State-Space Models. 6559–6565. 1 indexed citations
13.
Wu, Sifan, Ruihui Zhao, Yefeng Zheng, Jian Pei, & Bang Liu. (2023). Identify Event Causality with Knowledge and Analogy. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13745–13753. 4 indexed citations
14.
Cheng, Yi, Wenge Liu, Wenjie Li, et al.. (2022). Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. 3014–3026. 15 indexed citations
15.
Wang, Xiaoqiang, Bang Liu, Fangli Xu, et al.. (2022). Feeding What You Need by Understanding What You Learned. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 5858–5874. 3 indexed citations
16.
Wang, Xiaoqiang, Bang Liu, Siliang Tang, & Lingfei Wu. (2022). QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. 562–581. 4 indexed citations
17.
Huang, Hong, et al.. (2021). Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. 1474–1483. 37 indexed citations
18.
Liu, Bang, et al.. (2018). Matching Long Text Documents via Graph Convolutional Networks. arXiv (Cornell University). 12 indexed citations
19.
Liu, Bang, Haigang Gong, Zihao Guo, et al.. (2018). Deep Learning versus Professional Healthcare Equipment: A Fine-Grained Breathing Rate Monitoring Model. Mobile Information Systems. 2018. 1–9. 10 indexed citations
20.
Guo, Xiaowei, Dashuai Wang, Bang Liu, Yong Zhou, & Shaorong Li. (2016). Quick design of high efficiency light trapping nanostructures for thin film silicon solar cells. Optics Communications. 395. 122–126. 3 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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