Dawei Jin

2.0k total citations · 1 hit paper
51 papers, 1.3k citations indexed

About

Dawei Jin is a scholar working on Artificial Intelligence, Accounting and Information Systems. According to data from OpenAlex, Dawei Jin has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 7 papers in Accounting and 6 papers in Information Systems. Recurrent topics in Dawei Jin's work include Topic Modeling (7 papers), Corporate Finance and Governance (6 papers) and Natural Language Processing Techniques (5 papers). Dawei Jin is often cited by papers focused on Topic Modeling (7 papers), Corporate Finance and Governance (6 papers) and Natural Language Processing Techniques (5 papers). Dawei Jin collaborates with scholars based in China, United States and New Zealand. Dawei Jin's co-authors include Yue Xiao, Huiju Wang, Wei Jiang, Mingqiang Li, Tiong‐Thye Goh, Haizhi Wang, Peng Wang, Hui Sun, Ping Xiong and Tianqing Zhu and has published in prestigious journals such as IEEE Access, Information Sciences and Energy & Fuels.

In The Last Decade

Dawei Jin

45 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.

Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control

2016 762 citations Yue Xiao, Huiju Wang et al. Journal of Medical Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dawei Jin China	12	771	437	383	107	103	51	1.3k
Dong‐Her Shih Taiwan	19	397 0.5×	300 0.7×	232 0.6×	97 0.9×	128 1.2×	84	1.2k
Liwei Ouyang China	10	1.1k 1.4×	405 0.9×	282 0.7×	220 2.1×	75 0.7×	12	1.4k
Eric Pardede Australia	16	558 0.7×	411 0.9×	529 1.4×	54 0.5×	68 0.7×	126	1.1k
Ying Ma China	19	735 1.0×	331 0.8×	433 1.1×	26 0.2×	72 0.7×	79	1.7k
Michael Nofer Germany	7	714 0.9×	219 0.5×	217 0.6×	152 1.4×	152 1.5×	12	1.1k
Marios D. Dikaiakos Cyprus	16	668 0.9×	697 1.6×	253 0.7×	44 0.4×	77 0.7×	69	1.3k
Ford Lumban Gaol Indonesia	17	420 0.5×	133 0.3×	252 0.7×	136 1.3×	89 0.9×	242	1.1k
Tariq Rahim Soomro Pakistan	11	337 0.4×	227 0.5×	249 0.7×	99 0.9×	107 1.0×	61	1.0k
Fethi Rabhi Australia	20	575 0.7×	434 1.0×	393 1.0×	225 2.1×	58 0.6×	99	1.2k
Xianrong Zheng United States	15	479 0.6×	294 0.7×	171 0.4×	190 1.8×	59 0.6×	35	1.1k

Countries citing papers authored by Dawei Jin

Since Specialization

Citations

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

Fields of papers citing papers by Dawei Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawei Jin

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

Cheng, Kai, et al.. (2025). Large language model-based planning agent with generative memory strengthens performance in textualized world. Engineering Applications of Artificial Intelligence. 148. 110319–110319. 2 indexed citations

2.

He, Guoliang, et al.. (2024). Efficient semi-supervised clustering with pairwise constraint propagation for multivariate time series. Information Sciences. 681. 121233–121233. 1 indexed citations

3.

Jin, Dawei, et al.. (2024). Large Model-Based Data Augmentation for Imbalanced Text Classification. 1006–1010.

4.

Jin, Dawei, et al.. (2024). TIAN: A time series Imaging Association Network for human abnormal behavior detection. Information Fusion. 118. 102906–102906. 3 indexed citations

5.

Luo, Bin, et al.. (2024). Point Cloud Quality Assessment Based on Cross-Modal De-Redundancy. IEEE Access. 12. 195516–195527.

6.

Jin, Dawei, et al.. (2023). Stock Price Trends Prediction Based on the Classical Models with Key Information Fusion of Ontologies. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(5). 1–22.

7.

Chen, Gang, et al.. (2023). DEC-transformer: deep embedded clustering with transformer on Chinese long text. Pattern Analysis and Applications. 26(3). 1349–1362. 2 indexed citations

8.

Xiong, Ping, et al.. (2023). Change Point Detection and Trend Analysis for Financial Time Series. 134–141.

9.

Jin, Dawei, et al.. (2023). MoCoUTRL: a momentum contrastive framework for unsupervised text representation learning. Connection Science. 35(1).

10.

Jin, Dawei, et al.. (2022). Short-Term Traffic Flow Prediction Based on Graph Convolutional Networks and Federated Learning. IEEE Transactions on Intelligent Transportation Systems. 24(1). 1191–1203. 64 indexed citations

11.

Jin, Dawei, et al.. (2022). Do state tax changes affect corporate tax aggressiveness? US evidence. Pacific Accounting Review. 35(1). 161–179. 2 indexed citations

12.

Jin, Dawei, et al.. (2020). Improving Abstractive Summarization via Dilated Convolution. Journal of Physics Conference Series. 1616(1). 12078–12078. 2 indexed citations

13.

Jin, Dawei, et al.. (2018). A Low-Cost Named Entity Recognition Research Based on Active Learning. Scientific Programming. 2018. 1–10. 10 indexed citations

14.

Chen, Gang, et al.. (2017). Relation Extraction with Deep Reinforcement Learning. IEICE Transactions on Information and Systems. E100.D(8). 1893–1902. 4 indexed citations

15.

Chen, Dexin, et al.. (2016). Context-Awareness Based Personalized Recommendation of Anti-Hypertension Drugs. Journal of Medical Systems. 40(9). 202–202. 17 indexed citations

16.

Xiao, Yue, Huiju Wang, Dawei Jin, Mingqiang Li, & Wei Jiang. (2016). Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control. Journal of Medical Systems. 40(10). 218–218. 762 indexed citations breakdown →

17.

Jin, Dawei, et al.. (2016). Social trust and foreign ownership: Evidence from qualified foreign institutional investors in China. Journal of Financial Stability. 23. 1–14. 43 indexed citations

18.

Jin, Dawei, et al.. (2014). Competition and profit hiding: evidence from banks in China. Managerial Finance. 40(10). 1040–1051. 4 indexed citations

19.

Chen, Xinyuan, Dawei Jin, Shulian Wang, et al.. (2012). Noncoplanar intensity‐modulated radiation therapy for young female patients with mediastinal lymphoma. Journal of Applied Clinical Medical Physics. 13(6). 147–156. 10 indexed citations

20.

Chen, Gang, et al.. (2011). An improved algorithm of compressing redundant data. 983–985. 1 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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