Weijie Bian

1.5k total citations · 1 hit paper
11 papers, 776 citations indexed

About

Weijie Bian is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Weijie Bian has authored 11 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Weijie Bian's work include Recommender Systems and Techniques (5 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Neural Network Applications (2 papers). Weijie Bian is often cited by papers focused on Recommender Systems and Techniques (5 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Neural Network Applications (2 papers). Weijie Bian collaborates with scholars based in China and United States. Weijie Bian's co-authors include Guorui Zhou, Ying Fan, Kun Gai, Xiaoqiang Zhu, Na Mou, Chang Zhou, Runpeng Cui, Si Li, Zhiqing Lin and Yang Zhao and has published in prestigious journals such as ChemBioChem, Pharmacological Research - Modern Chinese Medicine and arXiv (Cornell University).

In The Last Decade

Weijie Bian

11 papers receiving 740 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Interest Evolution Network for Click-Through Rate Prediction

2019 578 citations Guorui Zhou, Na Mou et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers

Countries citing papers authored by Weijie Bian

Since Specialization

Citations

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

Fields of papers citing papers by Weijie Bian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijie Bian

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

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	A Facile Label‐Free Colorimetric Assay for DNase I Activity Based on the Peroxidase‐Like Activity of Functional Nucleic Acids 2024 ·ChemBioChem ·(unknown), Xuxia Yan, Shujing Sun, Weijie Bian, Xiaodong Su, (unknown), Qianyu Zhou	1
2	Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction 2023 ·(unknown), (unknown), Weijie Bian, (unknown)	4
3	CAN 2022 ·Weijie Bian, Kailun Wu, Lejian Ren, (unknown), Yujing Zhang, (unknown), Xiang-Rong Sheng, (unknown), Zhangming Chan, Na Mou, (unknown), Shiming Xiang, Guorui Zhou, Xiaoqiang Zhu, Hongbo Deng	40
4	KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging 2022 ·Proceedings of the 31st ACM International Conference on Information & Knowledge Management ·Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng	15
5	Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction 2022 ·Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·Kailun Wu, Weijie Bian, Zhangming Chan, Lejian Ren, Shiming Xiang, (unknown), Hongbo Deng, B. Zheng	11
6	Silybin A enhances circadian clock by targeting CRY1 and disrupting its interaction with CLOCK 2022 ·Pharmacological Research - Modern Chinese Medicine ·Weijie Bian, Weilin Zhang, Hao Liang, Xiaowen Xie, Luhua Lai	6
7	Deep Interest Evolution Network for Click-Through Rate Prediction breakdown → 2019 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Guorui Zhou, Na Mou, Ying Fan, (unknown), Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai	578
8	Res-embedding for deep learning based click-through rate prediction modeling 2019 ·Guorui Zhou, Kailun Wu, Weijie Bian, Xiaoqiang Zhu, Kun Gai	2
9	Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net 2018 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai	74
10	Rocket Launching: A unified and effecient framework for training well-behaved light net 2017 ·arXiv (Cornell University) ·Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai	2
11	A Compare-Aggregate Model with Dynamic-Clip Attention for Answer Selection 2017 ·Weijie Bian, Si Li, Yang Zhao, Guang Chen, Zhiqing Lin	43

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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