Chenglong Wang

1.6k total citations · 1 hit paper
36 papers, 811 citations indexed

About

Chenglong Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Chenglong Wang has authored 36 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Chenglong Wang's work include Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Advanced Database Systems and Queries (4 papers). Chenglong Wang is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Advanced Database Systems and Queries (4 papers). Chenglong Wang collaborates with scholars based in China, United States and Saudi Arabia. Chenglong Wang's co-authors include Alvin Cheung, Rastislav Bodík, Feiping Nie, Xuelong Li, Bill Howe, Dominik Moritz, Jeffrey Heer, Greg L. Nelson, Adam M. Smith and Austin J. Herrema and has published in prestigious journals such as IEEE Transactions on Information Theory, Applied Energy and Sensors.

In The Last Decade

Chenglong Wang

33 papers receiving 785 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.

Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China

2024 54 citations Chenglong Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenglong Wang China	14	378	316	139	120	78	36	811
Krešimir Matković Austria	17	184 0.5×	542 1.7×	46 0.3×	132 1.1×	46 0.6×	79	800
Vaishak Belle United Kingdom	15	769 2.0×	283 0.9×	112 0.8×	91 0.8×	82 1.1×	83	1.2k
Parikshit Ram United States	13	315 0.8×	227 0.7×	125 0.9×	105 0.9×	74 0.9×	34	663
P.W. Grant United Kingdom	11	362 1.0×	309 1.0×	48 0.3×	90 0.8×	68 0.9×	54	738
Nikos Karampatziakis United States	7	337 0.9×	380 1.2×	72 0.5×	147 1.2×	138 1.8×	16	913
Rafael M. Martins Sweden	13	421 1.1×	483 1.5×	55 0.4×	87 0.7×	28 0.4×	39	925
John Gerth United States	9	147 0.4×	205 0.6×	143 1.0×	133 1.1×	173 2.2×	18	522
Shalev-ShwartzShai	6	573 1.5×	222 0.7×	99 0.7×	84 0.7×	74 0.9×	10	844
Vittorio Castelli United States	15	550 1.5×	426 1.3×	211 1.5×	432 3.6×	275 3.5×	77	1.3k

Countries citing papers authored by Chenglong Wang

Since Specialization

Citations

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

Fields of papers citing papers by Chenglong Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglong Wang

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

Miao, Liu, Shihang Wang, Xinxin Huang, et al.. (2025). Dietary fat is associated with increased inflammatory bowel disease onset risk: a systematic review and dose–response meta-analysis. International Journal of Surgery. 111(11). 8523–8528.

Wang, Jian, Chenglong Wang, Lin Guo, et al.. (2025). MDKAT: Multimodal Decoupling With Knowledge Aggregation and Transfer for Video Emotion Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 35(10). 9809–9822. 4 indexed citations

Su, Tian, et al.. (2025). Hybrid deep learning-assisted multi-mode measurements compensation for GNSS/INS loosely-coupled integration in different GNSS challenging environments. Advances in Space Research. 75(12). 8466–8485.

Wang, Chenglong, Hang Zhou, Bei Li, et al.. (2024). ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19107–19115. 2 indexed citations

Wang, Chenglong, et al.. (2024). Permutation fuzzy entropy based ICEEMDAN de-noising for inertial sensors. Measurement Science and Technology. 35(6). 66304–66304. 9 indexed citations

Zhang, Ying, et al.. (2024). All-optical neural network nonlinear activation function based on the optical bistability within a micro-ring resonator. Optics Communications. 558. 130374–130374. 6 indexed citations

Chen, Junren, Chenglong Wang, Michael K. Ng, & Di Wang. (2023). High Dimensional Statistical Estimation Under Uniformly Dithered One-Bit Quantization. IEEE Transactions on Information Theory. 69(8). 5151–5187. 9 indexed citations

Huang, Xiao, Hongwei Wang, Weiqian Jiang, et al.. (2021). Qualitative Histopathological Classification of Primary Bone Tumors Using Deep Learning: A Pilot Study. Frontiers in Oncology. 11. 735739–735739. 13 indexed citations

Yi, Jiangyan, Ye Bai, Jianhua Tao, et al.. (2021). Half-Truth: A Partially Fake Audio Detection Dataset. 1654–1658. 44 indexed citations

10.

Wang, Chenglong, et al.. (2021). RankNAS: Efficient Neural Architecture Search by Pairwise Ranking. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2469–2480. 6 indexed citations

11.

Liu, Hui, Kai Feng, Xu Chen, et al.. (2020). The NiuTrans System for the WMT20 Quality Estimation Shared Task. Empirical Methods in Natural Language Processing. 1018–1023. 4 indexed citations

12.

Wang, Chenglong, Feiping Nie, Rong Wang, & Xuelong Li. (2020). Revisiting Fast Spectral Clustering with Anchor Graph. 3902–3906. 27 indexed citations

13.

Li, Bei, et al.. (2020). The NiuTrans System for WNGT 2020 Efficiency Task. 204–210. 3 indexed citations

14.

Wang, Chenglong, Po-Sen Huang, Alex Polozov, Marc Brockschmidt, & Rishabh Singh. (2018). Execution-Guided Neural Program Decoding. arXiv (Cornell University). 15 indexed citations

15.

Moritz, Dominik, et al.. (2018). Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco. OSF Preprints (OSF Preprints). 15 indexed citations

16.

Wang, Chenglong, Alvin Cheung, & Rastislav Bodík. (2018). Speeding up symbolic reasoning for relational queries. Proceedings of the ACM on Programming Languages. 2(OOPSLA). 1–25. 10 indexed citations

17.

Wang, Chenglong, Alvin Cheung, & Rastislav Bodík. (2017). Synthesizing highly expressive SQL queries from input-output examples. 452–466. 107 indexed citations

18.

Wang, Chenglong, et al.. (2016). The Research of Chinese Words Semantic Similarity Calculation with Multi-Information. 6(3). 17–28.

19.

Wang, Chenglong, Yue Wu, & Zongtian Liu. (2016). Hierarchical boosting for transfer learning with multi-source. 1–5. 2 indexed citations

20.

Hsu, Ming‐Chen, Chenglong Wang, Fei Xu, Austin J. Herrema, & Adarsh Krishnamurthy. (2016). Direct immersogeometric fluid flow analysis using B-rep CAD models. Computer Aided Geometric Design. 43. 143–158. 68 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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