Kunpeng Zhang

3.8k total citations · 1 hit paper
129 papers, 2.5k citations indexed

About

Kunpeng Zhang is a scholar working on Artificial Intelligence, Transportation and Statistical and Nonlinear Physics. According to data from OpenAlex, Kunpeng Zhang has authored 129 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 23 papers in Transportation and 21 papers in Statistical and Nonlinear Physics. Recurrent topics in Kunpeng Zhang's work include Complex Network Analysis Techniques (21 papers), Human Mobility and Location-Based Analysis (20 papers) and Advanced Graph Neural Networks (15 papers). Kunpeng Zhang is often cited by papers focused on Complex Network Analysis Techniques (21 papers), Human Mobility and Location-Based Analysis (20 papers) and Advanced Graph Neural Networks (15 papers). Kunpeng Zhang collaborates with scholars based in China, United States and Hong Kong. Kunpeng Zhang's co-authors include Fan Zhou, Goce Trajcevski, Ting Zhong, Fengli Zhang, Haijing Hao, Qiang Gao, Xovee Xu, Jin Wu, Alok Choudhary and Chengtai Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Marketing and Scientific Reports.

In The Last Decade

Kunpeng Zhang

120 papers receiving 2.5k 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.

A Survey of Information Cascade Analysis

2021 128 citations Fan Zhou, Goce Trajcevski et al. profile →

Peers

Kunpeng Zhang

AI

TRANS

SNP

IS

SPS

Yong Ge United States

Chengfei Liu Australia

Yunchuan Sun China

Iraklis Varlamis Greece

Ramayya Krishnan United States

Chuanren Liu United States

Philippe Cudré-Mauroux Switzerland

Licia Capra United Kingdom

Weiqing Wang China

Sang‐Wook Kim South Korea

Yong Ge United States

Kunpeng Zhang

1.1k ×0.9

AI

997 ×1.7

TRANS

210 ×0.4

SNP

1.4k ×3.1

IS

213 ×0.6

SPS

Citations per year, relative to Kunpeng Zhang Kunpeng Zhang (= 1×) peers Yong Ge

Countries citing papers authored by Kunpeng Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Kunpeng Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunpeng Zhang

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

Ke, Qing, et al.. (2025). Help Me Screen: Analyzing and Predicting the Success of Start-ups in Dynamic Venture Capital Networks. ACM Transactions on Intelligent Systems and Technology. 16(6). 1–26.

2.

He, Yi, Yi Yang, Defu Lian, & Kunpeng Zhang. (2025). Code and Data Repository for Divide-and-Contrast: A Text-based Method for Firm Market Risk Prediction. INFORMS journal on computing.

3.

Zhang, Kunpeng, et al.. (2025). Semantic duality in hypergraphs: Uncertainty-aware bipolar evidence aggregation for temporal knowledge graph reasoning. Expert Systems with Applications. 299. 130162–130162.

4.

Gao, Qiang, et al.. (2024). Relational Fusion-based Stock Selection with Neural Recursive Ordinary Differential Equation Networks. Information Fusion. 110. 102468–102468. 1 indexed citations

5.

Kannan, P.K., et al.. (2024). Retailer Differentiation in Social Media: An Investigation of Firm-Generated Content on Twitter. Journal of Marketing. 89(4). 39–58. 1 indexed citations

6.

Han, Xuewen, et al.. (2024). Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research. 538–546. 6 indexed citations

7.

Gao, Qiang, Zaihua Liu, Li Huang, et al.. (2024). Relational Stock Selection via Probabilistic State Space Learning. IEEE Transactions on Knowledge and Data Engineering. 37(2). 865–880. 1 indexed citations

8.

Viswanathan, Siva, et al.. (2024). From West to the Rest: Growing Dispersion of AI Jobs in America. SSRN Electronic Journal. 1 indexed citations

9.

Sun, Mingwei & Kunpeng Zhang. (2023). Multimodal Co-attention Transformer for Video-Based Personality Understanding. 1450–1459. 1 indexed citations

10.

Gao, Qiang, et al.. (2022). Self-supervised representation learning for trip recommendation. Knowledge-Based Systems. 247. 108791–108791. 19 indexed citations

11.

Zhou, Fan, et al.. (2021). Unifying Online and Offline Preference for Social Link Prediction. INFORMS journal on computing. 2 indexed citations

12.

Yang, Yi, et al.. (2021). Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach. INFORMS journal on computing. 34(1). 522–540. 17 indexed citations

13.

Zhang, Kunpeng, et al.. (2021). Layout optimization design of hierarchical curvilinearly stiffened panels based on deep learning. SHILAP Revista de lepidopterología. 1 indexed citations

14.

Zhong, Ting, et al.. (2020). Interpreting Twitter User Geolocation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 853–859. 7 indexed citations

15.

Zhou, Fan, Liang Li, Kunpeng Zhang, & Goce Trajcevski. (2020). Urban flow prediction with spatial–temporal neural ODEs. Transportation Research Part C Emerging Technologies. 124. 102912–102912. 37 indexed citations

16.

Qin, Lei, Camden Bay, Xin Chen, et al.. (2020). Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction. 99–99. 3 indexed citations

17.

Zhang, Kunpeng & Xueming Luo. (2019). Leveraging Deep-learning and Field Experiment Response Heterogeneity to Enhance Customer Targeting Effectiveness. Journal of the Association for Information Systems. 3 indexed citations

18.

Zhang, Kunpeng, et al.. (2019). Retail Firms’ Use of Social Media – Insights from Analysis of Large-Scale Twitter Data. Journal of the Association for Information Systems. 2 indexed citations

19.

Zhang, Kunpeng, et al.. (2015). Effects of Interactions and Product Information on Initial Purchase Intention in Product Placement in Social Games: The Moderating Role of Product Familiarity. Journal of electronic commerce research. 16(1). 22. 30 indexed citations

20.

Zhang, Kunpeng, et al.. (2014). Incorporating conditional random fields and active learning to improve sentiment identification. Neural Networks. 58. 60–67. 24 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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