Deheng Ye

1.4k total citations
29 papers, 885 citations indexed

About

Deheng Ye is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Deheng Ye has authored 29 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Information Systems and 5 papers in Sociology and Political Science. Recurrent topics in Deheng Ye's work include Software Engineering Research (8 papers), Topic Modeling (8 papers) and Reinforcement Learning in Robotics (8 papers). Deheng Ye is often cited by papers focused on Software Engineering Research (8 papers), Topic Modeling (8 papers) and Reinforcement Learning in Robotics (8 papers). Deheng Ye collaborates with scholars based in China, Singapore and Australia. Deheng Ye's co-authors include Zhenchang Xing, Gui-Bin Chen, Nachiket Kapre, Erik Cambria, Jieshan Chen, Xin Xia, Shanping Li, Bowen Xu, Peilin Zhao and Wei Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and Empirical Software Engineering.

In The Last Decade

Deheng Ye

28 papers receiving 869 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deheng Ye China	15	544	364	115	85	84	29	885
Naresh Kumar Nagwani India	16	423 0.8×	411 1.1×	163 1.4×	52 0.6×	100 1.2×	106	850
Liwei Chen China	13	278 0.5×	287 0.8×	59 0.5×	85 1.0×	98 1.2×	52	704
Ingrid Nunes Brazil	12	350 0.6×	301 0.8×	185 1.6×	49 0.6×	28 0.3×	68	667
Chetan Arora Australia	20	421 0.8×	580 1.6×	123 1.1×	78 0.9×	36 0.4×	77	1.0k
Bonan Min United States	13	868 1.6×	292 0.8×	159 1.4×	80 0.9×	58 0.7×	46	1.2k
Rose Gamble United States	16	337 0.6×	503 1.4×	319 2.8×	34 0.4×	87 1.0×	133	819
Johannes Sametinger Austria	12	299 0.5×	422 1.2×	165 1.4×	35 0.4×	88 1.0×	55	699
Giuseppe Polese Italy	20	508 0.9×	373 1.0×	186 1.6×	184 2.2×	118 1.4×	89	983
Franco Raimondi United Kingdom	16	544 1.0×	245 0.7×	288 2.5×	78 0.9×	39 0.5×	69	937

Countries citing papers authored by Deheng Ye

Since Specialization

Citations

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

Fields of papers citing papers by Deheng Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deheng Ye

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

Li, Junyou, et al.. (2025). Improving Sample Efficiency of Reinforcement Learning With Background Knowledge From Large Language Models. IEEE Transactions on Neural Networks and Learning Systems. 36(11). 19681–19692.

Wang, Lei, Yang Wang, Deheng Ye, et al.. (2024). LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. 128–145. 3 indexed citations

Zhao, He, et al.. (2024). HGAttack: Transferable Heterogeneous Graph Adversarial Attack. 100–105. 2 indexed citations

Wang, Yuxing, Deheng Ye, Qiang Fu, et al.. (2023). Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14588–14602. 5 indexed citations

Zhao, Boxuan, Deheng Ye, Jian Cao, et al.. (2023). RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3570–3578. 6 indexed citations

Zhao, Dehai, Zhenchang Xing, Xin Xia, et al.. (2023). SeeHow: Workflow Extraction from Programming Screencasts through Action-Aware Video Analytics. 3 indexed citations

Ye, Deheng, et al.. (2022). Curriculum-Based Asymmetric Multi-Task Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7258–7269. 13 indexed citations

Ye, Deheng, et al.. (2021). Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. IEEE Transactions on Games. 13(4). 410–421. 18 indexed citations

Liu, Minghuan, Jian Shen, Weinan Zhang, et al.. (2021). MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. 3484–3491. 9 indexed citations

10.

Ye, Deheng, Gui-Bin Chen, Peilin Zhao, et al.. (2020). Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Transactions on Neural Networks and Learning Systems. 33(3). 908–918. 27 indexed citations

11.

Zhang, Yifan, et al.. (2020). Relation-Aware Transformer for Portfolio Policy Learning. 4647–4653. 27 indexed citations

12.

Ye, Deheng, Zhao Liu, Mingfei Sun, et al.. (2020). Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6672–6679. 185 indexed citations

13.

Ye, Deheng, Lingfeng Bao, Zhenchang Xing, & Shang‐Wei Lin. (2018). APIReal: an API recognition and linking approach for online developer forums. Empirical Software Engineering. 23(6). 3129–3160. 14 indexed citations

14.

Chen, Gui-Bin, Deheng Ye, Zhenchang Xing, Jieshan Chen, & Erik Cambria. (2017). Ensemble application of convolutional and recurrent neural networks for multi-label text categorization. ANU Open Research (Australian National University). 2377–2383. 177 indexed citations

15.

Xing, Zhenchang, et al.. (2017). Enhancing Knowledge Sharing in Stack Overflow via Automatic External Web Resources Linking. 90–99. 5 indexed citations

16.

Xu, Bowen, Deheng Ye, Zhenchang Xing, et al.. (2016). Predicting semantically linkable knowledge in developer online forums via convolutional neural network. 51–62. 110 indexed citations

17.

Ye, Deheng, et al.. (2016). Software-Specific Named Entity Recognition in Software Engineering Social Content. 90–101. 65 indexed citations

18.

Xing, Zhenchang, et al.. (2016). From discussion to wisdom. 1127–1133. 10 indexed citations

19.

Bao, Lingfeng, Deheng Ye, Zhenchang Xing, Xin Xia, & Xinyu Wang. (2015). ActivitySpace: A Remembrance Framework to Support Interapplication Information Needs. 864–869. 17 indexed citations

20.

Ye, Deheng & Nachiket Kapre. (2014). MixFX-SCORE: Heterogeneous Fixed-Point Compilation of Dataflow Computations. DR-NTU (Nanyang Technological University). 206–209. 2 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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