Yaowei Zheng

436 total citations · 1 hit paper
7 papers, 160 citations indexed

About

Yaowei Zheng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Business and International Management. According to data from OpenAlex, Yaowei Zheng has authored 7 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Business and International Management. Recurrent topics in Yaowei Zheng's work include Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (3 papers) and Text and Document Classification Technologies (2 papers). Yaowei Zheng is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Topic Modeling (3 papers) and Text and Document Classification Technologies (2 papers). Yaowei Zheng collaborates with scholars based in China, Canada and United Kingdom. Yaowei Zheng's co-authors include Richong Zhang, Yongyi Mao, Samuel Mensah, Ying Wei, Chunming Hu and Junfan Chen and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Yaowei Zheng

7 papers receiving 155 citations

Hit Papers

1 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.

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

2024 80 citations Yaowei Zheng, Richong Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaowei Zheng China	5	125	26	20	8	6	7	160
Giuseppe Marra Belgium	6	110 0.9×	26 1.0×	12 0.6×	6 0.8×	5 0.8×	20	140
Chenglei Si United States	8	131 1.0×	25 1.0×	22 1.1×	12 1.5×	2 0.3×	13	159
Babak Hodjat United States	4	66 0.5×	13 0.5×	8 0.4×	8 1.0×	5 0.8×	15	110
Kenton Murray United States	7	115 0.9×	34 1.3×	37 1.9×	5 0.6×	3 0.5×	19	139
Jon Saad-Falcon United States	4	127 1.0×	52 2.0×	35 1.8×	7 0.9×	3 0.5×	9	170
Lujun Zhao China	8	255 2.0×	26 1.0×	28 1.4×	9 1.1×	5 0.8×	11	289
Siqu Long Australia	8	118 0.9×	75 2.9×	18 0.9×	6 0.8×	2 0.3×	13	179
Sho Takase Japan	10	286 2.3×	52 2.0×	29 1.4×	6 0.8×	8 1.3×	31	316
Guanghui Qin United States	6	223 1.8×	63 2.4×	28 1.4×	6 0.8×	5 0.8×	10	254

Countries citing papers authored by Yaowei Zheng

Since Specialization

Citations

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

Fields of papers citing papers by Yaowei Zheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaowei Zheng

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

7 of 7 papers shown

1.

Zheng, Yaowei, et al.. (2024). LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models. 400–410. 80 indexed citations breakdown →

2.

Chen, Junfan, et al.. (2024). DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification. 4362–4371. 2 indexed citations

3.

Zhang, Richong, et al.. (2022). Aspect-Level Sentiment Analysis via a Syntax-Based Neural Network. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2568–2583. 13 indexed citations

4.

Wei, Ying & Yaowei Zheng. (2022). Research on the Evolution of Openness of Manufacturing Enterprise-led Industrial Internet Platform: A Case Study Based on Foxconn Fii Cloud Platform. 902–907. 1 indexed citations

5.

Zheng, Yaowei, Richong Zhang, & Yongyi Mao. (2021). Regularizing Neural Networks via Adversarial Model Perturbation. 8152–8161. 26 indexed citations

6.

Zheng, Yaowei, et al.. (2020). Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification. 2754–2760. 7 indexed citations

7.

Zheng, Yaowei, Richong Zhang, Samuel Mensah, & Yongyi Mao. (2020). Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 9685–9692. 31 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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