Ningyu Zhang

4.7k total citations · 3 hit papers
94 papers, 2.1k citations indexed

About

Ningyu Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Ningyu Zhang has authored 94 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 9 papers in Management Science and Operations Research. Recurrent topics in Ningyu Zhang's work include Topic Modeling (56 papers), Natural Language Processing Techniques (43 papers) and Advanced Graph Neural Networks (17 papers). Ningyu Zhang is often cited by papers focused on Topic Modeling (56 papers), Natural Language Processing Techniques (43 papers) and Advanced Graph Neural Networks (17 papers). Ningyu Zhang collaborates with scholars based in China, United States and United Kingdom. Ningyu Zhang's co-authors include Huajun Chen, Shumin Deng, Chuanqi Tan, Fei Huang, Jiaoyan Chen, Luo Si, Xin Xie, Mosha Chen, Hongbin Ye and Yunzhi Yao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Energy Materials.

In The Last Decade

Ningyu Zhang

87 papers receiving 2.0k 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.

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

2022 219 citations Ningyu Zhang, Shumin Deng et al. profile →
Knowledge graph-enhanced molecular contrastive learning with functional prompt

2023 106 citations Fang Yin, Ningyu Zhang et al. profile →
LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities

2024 73 citations Xiaohan Wang, Jing Chen et al. World Wide Web profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ningyu Zhang China	25	1.5k	301	258	229	219	94	2.1k
Michael Cochez Germany	16	881 0.6×	157 0.5×	165 0.6×	228 1.0×	277 1.3×	46	1.6k
Sen Wu China	19	1.3k 0.9×	279 0.9×	216 0.8×	535 2.3×	145 0.7×	81	2.0k
Marco Lippi Italy	21	782 0.5×	165 0.5×	92 0.4×	232 1.0×	169 0.8×	75	2.2k
Xu Sun China	33	2.7k 1.8×	934 3.1×	187 0.7×	443 1.9×	169 0.8×	116	3.3k
Shumin Deng China	18	976 0.7×	164 0.5×	181 0.7×	141 0.6×	104 0.5×	40	1.2k
Daojian Zeng China	13	2.7k 1.8×	305 1.0×	292 1.1×	427 1.9×	319 1.5×	39	3.0k
Eva Blomqvist Sweden	15	837 0.6×	177 0.6×	205 0.8×	384 1.7×	182 0.8×	52	1.3k
Sergio Ramírez‐Gallego Spain	16	933 0.6×	216 0.7×	126 0.5×	363 1.6×	94 0.4×	21	1.7k

Countries citing papers authored by Ningyu Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Ningyu Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ningyu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ningyu Zhang. A scholar is included among the top collaborators of Ningyu Zhang 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 Ningyu Zhang. Ningyu Zhang 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.

Chen, Zhuo, Yichi Zhang, Yuxia Geng, et al.. (2025). Knowledge Graphs for Multi-modal Learning: Survey and Perspective. Information Fusion. 121. 103124–103124. 5 indexed citations

2.

Xu, Xin, Wei Xu, Ningyu Zhang, & Julian McAuley. (2025). BiasEdit: Debiasing Stereotyped Language Models via Model Editing. 166–184.

3.

Zhang, Ningyu, Zhiqiang Zhang, Jun Zhou, et al.. (2025). OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. 2871–2874. 1 indexed citations

4.

Xu, Yuming, et al.. (2024). A representation learning-based approach to enhancing manufacturing quality for low-voltage electrical products. Advanced Engineering Informatics. 62. 102636–102636. 1 indexed citations

5.

Gao, Shan, et al.. (2024). Site Selection Method of Multiple Phase Shifting Transformer Based on Sensitivity Analysis. 195–201. 2 indexed citations

6.

Wang, Xiaohan, Jing Chen, Shuofei Qiao, et al.. (2024). LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities. World Wide Web. 27(5). 73 indexed citations breakdown →

7.

Zhang, Ningyu, Ziwen Xu, Shuofei Qiao, et al.. (2024). EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models. 94–106.

8.

Wang, Mengru, Ningyu Zhang, Ziwen Xu, et al.. (2024). Detoxifying Large Language Models via Knowledge Editing. 3093–3118. 6 indexed citations

9.

Wang, Xiaohan, Shumin Deng, Yunzhi Yao, et al.. (2024). Editing Conceptual Knowledge for Large Language Models. 706–724. 4 indexed citations

10.

Wang, Mengru, Yunzhi Yao, Ziwen Xu, et al.. (2024). Knowledge Mechanisms in Large Language Models: A Survey and Perspective. 7097–7135. 1 indexed citations

11.

Qiao, Shuofei, et al.. (2024). AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning. 3003–3021. 12 indexed citations

12.

Qiao, Shuofei, Ningyu Zhang, Xiang Chen, et al.. (2023). Reasoning with Language Model Prompting: A Survey. 5368–5393. 61 indexed citations

13.

Cheng, Siyuan, et al.. (2023). Relphormer: Relational Graph Transformer for Knowledge Graph Representations. Neurocomputing. 566. 127044–127044. 26 indexed citations

14.

Xie, Xin, et al.. (2023). LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings. 25–33. 11 indexed citations

15.

Hao, Yanchao, Xiaolong Liu, Dianbo Sui, et al.. (2023). Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. 293–306. 1 indexed citations

16.

Zhang, Ningyu, Tao Gui, & Guoshun Nan. (2022). Efficient and Robust Knowledge Graph Construction. 1–7. 2 indexed citations

17.

Ye, Hongbin, Ningyu Zhang, Hui Chen, & Huajun Chen. (2022). Generative Knowledge Graph Construction: A Review. 1–17. 28 indexed citations

18.

Liao, Jie, Jingyang Qian, Fang Yin, et al.. (2022). De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution. Nature Communications. 13(1). 6498–6498. 48 indexed citations

19.

Wen, Rui, Xi Chen, Yifan Yang, et al.. (2021). PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction. 6225–6235. 110 indexed citations

20.

Zhang, Ningyu, Shumin Deng, Juan Li, et al.. (2020). Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention. 15–24. 12 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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