Yunshi Lan

1.4k total citations · 1 hit paper
27 papers, 565 citations indexed

About

Yunshi Lan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yunshi Lan has authored 27 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yunshi Lan's work include Topic Modeling (21 papers), Natural Language Processing Techniques (18 papers) and Advanced Graph Neural Networks (6 papers). Yunshi Lan is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (18 papers) and Advanced Graph Neural Networks (6 papers). Yunshi Lan collaborates with scholars based in China, Singapore and United States. Yunshi Lan's co-authors include Jing Jiang, Shuohang Wang, Jinhao Jiang, Gaole He, Ji-Rong Wen, Wayne Xin Zhao, Ee‐Peng Lim, Yihuai Lan, Lei Wang and Zhiqiang Hu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE/ACM Transactions on Audio Speech and Language Processing and IEEE Transactions on Computational Social Systems.

In The Last Decade

Yunshi Lan

22 papers receiving 552 citations

Hit Papers

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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.

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

2023 95 citations Lei Wang, Yihuai Lan et al. profile →

Peers

Countries citing papers authored by Yunshi Lan

Since Specialization

Citations

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

Fields of papers citing papers by Yunshi Lan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunshi Lan

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends 2025 ·IEEE Transactions on Knowledge and Data Engineering ·Yunshi Lan, Xinyuan Li, (unknown), Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou	0
2	Explainable and Interactive LLMs-Augmented Depression Detection in Social Media 2025 ·IEEE Transactions on Computational Social Systems ·Wei Qin, (unknown), Xun Yang, Lei Wang, Yunshi Lan, (unknown), Richang Hong	0
3	Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting 2024 ·(unknown), Yang Li, (unknown), Shan Yang, Yunshi Lan	1
4	Aligning Large Language Models to a Domain-specific Graph Database for NL2GQL 2024 ·(unknown), Keren Tan, (unknown), (unknown), (unknown), Yunshi Lan, Weining Qian	3
5	How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback 2024 ·(unknown), (unknown), Yunshi Lan, (unknown)	2
6	Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis 2024 ·(unknown), (unknown), Jiaqi Tan, (unknown), Zhiping Weng, (unknown), Long Zeng, (unknown), (unknown), (unknown), Zhiyong Wu, Yunshi Lan, (unknown)	2
7	DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning 2024 ·(unknown), Shuai Wang, (unknown), (unknown), Xiang Li, Yunshi Lan, Ming Gao, (unknown)	2
8	R3 Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context 2023 ·(unknown), (unknown), Lei Wang, (unknown), Yunshi Lan	1
9	History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling 2023 ·Hao Sun, Yang Li, Liwei Deng, (unknown), Binyuan Hui, Binhua Li, Yunshi Lan, Yan Zhang, Yongbin Li	2
10	Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation 2023 ·(unknown), Jianing Wang, (unknown), Lei Wang, Weining Qian, Yunshi Lan	10
11	Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models breakdown → 2023 ·Lei Wang, (unknown), Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, Ee‐Peng Lim	95
12	Structure-Discourse Hierarchical Graph for Conditional Question Answering on Long Documents 2023 ·Haowei Du, Yansong Feng, Chen Li, Li Yang, Yunshi Lan, Dongyan Zhao	3
13	GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting 2023 ·(unknown), (unknown), Yunshi Lan, Ming Gao	22
14	MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving 2022 ·Singapore Management University Institutional Knowledge (InK) (Singapore Management University) ·(unknown), Jipeng Zhang, Lei Wang, Qin Wei, Yunshi Lan, Jie Shao, Xiangliang Zhang	40
15	MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Yihuai Lan, Lei Wang, (unknown), Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee‐Peng Lim	20
16	A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions 2021 ·Yunshi Lan, Gaole He, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen	76
17	Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases 2020 ·Yunshi Lan, Jing Jiang	117
18	Knowledge Base Question Answering with Topic Units 2019 ·Yunshi Lan, Shuohang Wang, Jing Jiang	28
19	Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model 2019 ·Yunshi Lan, Shuohang Wang, Jing Jiang	22
20	Embedding WordNet Knowledge for Textual Entailment 2018 ·Singapore Management University Institutional Knowledge (InK) (Singapore Management University) ·Yunshi Lan, Jing Jiang	0

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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