Binxing Jiao

426 total citations
11 papers, 157 citations indexed

About

Binxing Jiao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Binxing Jiao has authored 11 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Binxing Jiao's work include Topic Modeling (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). Binxing Jiao is often cited by papers focused on Topic Modeling (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). Binxing Jiao collaborates with scholars based in China, United States and Australia. Binxing Jiao's co-authors include Daxin Jiang, Furu Wei, Linjun Yang, Haoyi Zhou, Shaohan Huang, Hangbo Bao, Dong Li, Feng Wu, Jianxin Li and Jizheng Xu and has published in prestigious journals such as IEEE Transactions on Multimedia and Findings of the Association for Computational Linguistics: ACL 2022.

In The Last Decade

Binxing Jiao

11 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Binxing Jiao China	7	113	51	24	18	11	11	157
Guanghui Qin United States	6	223 2.0×	63 1.2×	28 1.2×	6 0.3×	6 0.5×	10	254
Jon Saad-Falcon United States	4	127 1.1×	52 1.0×	35 1.5×	7 0.4×	6 0.5×	9	170
Sumanth Doddapaneni India	7	179 1.6×	38 0.7×	10 0.4×	27 1.5×	9 0.8×	14	208
Kam Woh Ng Malaysia	6	123 1.1×	162 3.2×	20 0.8×	22 1.2×	6 0.5×	8	239
Iulia Turc United States	4	139 1.2×	35 0.7×	21 0.9×	9 0.5×	13 1.2×	5	158
Chenglei Si United States	8	131 1.2×	25 0.5×	22 0.9×	12 0.7×	5 0.5×	13	159
Or Honovich Israel	7	199 1.8×	40 0.8×	29 1.2×	6 0.3×	5 0.5×	10	221
Giovanni Cherubin United Kingdom	5	124 1.1×	21 0.4×	14 0.6×	21 1.2×	30 2.7×	9	135
Gözde Gül Şahin Türkiye	7	183 1.6×	59 1.2×	19 0.8×	22 1.2×	7 0.6×	28	245
Terry Yue Zhuo Australia	6	59 0.5×	19 0.4×	17 0.7×	12 0.7×	6 0.5×	13	82

Countries citing papers authored by Binxing Jiao

Since Specialization

Citations

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

Fields of papers citing papers by Binxing Jiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binxing Jiao

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

11 of 11 papers shown

1.

Tao, Chongyang, Chang Liu, Tao Shen, et al.. (2024). ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. 11639–11651. 1 indexed citations

2.

Wang, Liang, Nan Yang, Binxing Jiao, et al.. (2023). SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval. 2244–2258. 22 indexed citations

3.

Peng, Wenjun, Jingwei Yi, Fangzhao Wu, et al.. (2023). Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. 7653–7668. 21 indexed citations

4.

Zhou, Yucheng, Tao Shen, Xiubo Geng, et al.. (2023). Towards Robust Ranker for Text Retrieval. 5387–5401. 7 indexed citations

5.

Zhou, Long, Ziqiang Zhang, Shujie Liu, et al.. (2023). VatLM: Visual-Audio-Text Pre-Training With Unified Masked Prediction for Speech Representation Learning. IEEE Transactions on Multimedia. 26. 1055–1064. 18 indexed citations

6.

Zhang, Kai, Chongyang Tao, Tao Shen, et al.. (2023). LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. 3203–3213. 5 indexed citations

7.

Yi, Jingwei, Fangzhao Wu, Chuhan Wu, et al.. (2022). Effective and Efficient Query-aware Snippet Extraction for Web Search. 3035–3046. 1 indexed citations

8.

Bao, Hangbo, Shaohan Huang, Dong Li, et al.. (2022). THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. Findings of the Association for Computational Linguistics: ACL 2022. 3510–3520. 42 indexed citations

9.

Yang, Nan, et al.. (2021). xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering. 6120–6129. 19 indexed citations

10.

Jiao, Binxing, Linjun Yang, Jizheng Xu, Qi Tian, & Feng Wu. (2012). Visually Summarizing Web Pages Through Internal and External Images. IEEE Transactions on Multimedia. 14(6). 1673–1683. 2 indexed citations

11.

Jiao, Binxing, Linjun Yang, Jizheng Xu, & Feng Wu. (2010). Visual summarization of web pages. 499–506. 19 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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