Hang Yan

2.7k total citations · 1 hit paper
47 papers, 1.3k citations indexed

About

Hang Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Hang Yan has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Hang Yan's work include Topic Modeling (16 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (4 papers). Hang Yan is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (4 papers). Hang Yan collaborates with scholars based in China, United States and Canada. Hang Yan's co-authors include Xipeng Qiu, Xuanjing Huang, Junqi Dai, Xiaonan Li, Yasutaka Furukawa, Sachini Herath, Tianxiang Sun, Zheng Zhang, Qipeng Guo and Zheng Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and IEEE Access.

In The Last Decade

Hang Yan

43 papers receiving 1.2k 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.

FLAT: Chinese NER Using Flat-Lattice Transformer

2020 241 citations Xiaonan Li, Hang Yan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hang Yan China	14	882	195	170	118	91	47	1.3k
Chunkai Zhang China	20	589 0.7×	360 1.8×	211 1.2×	109 0.9×	200 2.2×	73	1.4k
Minjie Wang China	16	399 0.5×	247 1.3×	138 0.8×	53 0.4×	80 0.9×	56	930
Tianyang Zhang China	14	680 0.8×	362 1.9×	35 0.2×	115 1.0×	63 0.7×	35	1.2k
Peiyu Liu China	18	579 0.7×	94 0.5×	65 0.4×	20 0.2×	198 2.2×	114	995
Akihiro Kishimoto Japan	17	498 0.6×	140 0.7×	186 1.1×	21 0.2×	33 0.4×	82	984
Bowen Liu China	15	186 0.2×	402 2.1×	229 1.3×	55 0.5×	113 1.2×	132	1.1k
Tim Harley United Kingdom	6	510 0.6×	190 1.0×	159 0.9×	19 0.2×	37 0.4×	7	797

Countries citing papers authored by Hang Yan

Since Specialization

Citations

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

Fields of papers citing papers by Hang Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Yan

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

20 of 20 papers shown

1.

Li, Wenhao, Haonan Wei, Yao Jiang, et al.. (2025). Selective Hydrodisulfuration of Alkenes with Dithiosulfonate. Angewandte Chemie International Edition. 64(17). e202424209–e202424209. 1 indexed citations

2.

Yan, Hang, et al.. (2025). Application of high entropy alloy in aluminum/steel (Al/Fe) dissimilar welding. Journal of Physics Conference Series. 2954(1). 12001–12001. 1 indexed citations

3.

Ren, Jie, Qipeng Guo, Hang Yan, et al.. (2024). Identifying Semantic Induction Heads to Understand In-Context Learning. 6916–6932. 1 indexed citations

4.

Lv, Kai, Hang Yan, Qipeng Guo, Haijun Lv, & Xipeng Qiu. (2024). AdaLomo: Low-memory Optimization with Adaptive Learning Rate. 12486–12502. 4 indexed citations

5.

Qin, Song, et al.. (2024). Study on Catastrophic Evolution Law of Water and Mud Inrush in Water-Rich Fault Fracture Zone of Deep Buried Tunnel. Buildings. 14(7). 2220–2220. 2 indexed citations

6.

Ji, Tao, Yuanbin Wu, Hang Yan, et al.. (2024). Length Generalization of Causal Transformers without Position Encoding. 14024–14040.

7.

Zhou, Yunhua, Wenwei Zhang, Qipeng Guo, et al.. (2024). Code Needs Comments: Enhancing Code LLMs with Comment Augmentation. 13640–13656. 3 indexed citations

8.

Li, Peng, Tianxiang Sun, Qiong Tang, et al.. (2023). CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors. 15339–15353. 21 indexed citations

9.

Yan, Hang, et al.. (2023). Multi-scale 3D-CNN for Alzheimer's Disease Classification. 39. 1–5. 1 indexed citations

10.

Yan, Hang, Zhe Sun, Min Qing, et al.. (2023). Kill two birds with one stone: Ratiometric sensing of phosphate via a single-component probe with fluorescence-scattering dual-signal response behavior. Analytica Chimica Acta. 1246. 340866–340866. 9 indexed citations

11.

Yan, Hang, et al.. (2023). UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction. 4096–4122. 2 indexed citations

12.

Yan, Hang, et al.. (2021). A Unified Generative Framework for Aspect-based Sentiment Analysis. 2416–2429. 176 indexed citations

13.

Yan, Hang, Tao Gui, Junqi Dai, et al.. (2021). A Unified Generative Framework for Various NER Subtasks. 5808–5822. 173 indexed citations

14.

Dai, Junqi, Hang Yan, Tianxiang Sun, Pengfei Liu, & Xipeng Qiu. (2021). Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. 1816–1829. 113 indexed citations

15.

Yan, Hang, et al.. (2021). fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP. 99–106. 10 indexed citations

16.

Li, Xiaonan, Hang Yan, Xipeng Qiu, & Xuanjing Huang. (2020). FLAT: Chinese NER Using Flat-Lattice Transformer. 6836–6842. 241 indexed citations breakdown →

17.

Yan, Hang, et al.. (2019). Nonlinear Vibration Analysis of Tubing Strings in Underground Gas Storage Using Multiscale Wavelet Transform. Shock and Vibration. 2019(1). 7 indexed citations

18.

Qiu, Xipeng, Hengzhi Pei, Hang Yan, & Xuanjing Huang. (2019). Multi-Criteria Chinese Word Segmentation with Transformer. arXiv (Cornell University). 8 indexed citations

19.

Yan, Hang, Xipeng Qiu, & Xuanjing Huang. (2019). A Unified Model for Joint Chinese Word Segmentation and Dependency Parsing.. arXiv (Cornell University). 3 indexed citations

20.

Yan, Hang, et al.. (2014). Work function changes of plasma treated indium tin oxide. Organic Electronics. 15(8). 1731–1737. 20 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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