Lang Wang

880 total citations · 1 hit paper
45 papers, 628 citations indexed

About

Lang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Lang Wang has authored 45 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Aerospace Engineering. Recurrent topics in Lang Wang's work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Energy, Environment, Economic Growth (5 papers). Lang Wang is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Energy, Environment, Economic Growth (5 papers). Lang Wang collaborates with scholars based in China, United Kingdom and United States. Lang Wang's co-authors include Zhidan Liu, Bing Han, Xiao Wu, Chong Zhang, Linjun Wang, Xin-Hui Xing, Yuan Lu, Xuefen Chi, Jing Deng and Wenxiao Shi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Scientific Reports.

In The Last Decade

Lang Wang

43 papers receiving 617 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.

The impact of digital transformation and earnings management on ESG performance: evidence from Chinese listed enterprises

2024 40 citations Lang Wang et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lang Wang China	12	157	101	98	92	87	45	628
Sheng Liu China	18	234 1.5×	149 1.5×	57 0.6×	28 0.3×	24 0.3×	62	1.1k
Yafei Wang China	16	111 0.7×	255 2.5×	32 0.3×	47 0.5×	33 0.4×	67	813
Weizhuo Wang United Kingdom	17	70 0.4×	140 1.4×	52 0.5×	24 0.3×	59 0.7×	59	1.1k
Antonio Bernardo-Sánchez Spain	18	57 0.4×	71 0.7×	93 0.9×	50 0.5×	168 1.9×	65	1.3k
Richard E. Rosenthal United States	13	62 0.4×	274 2.7×	28 0.3×	57 0.6×	95 1.1×	39	1.1k
Yu Song China	16	173 1.1×	188 1.9×	57 0.6×	6 0.1×	112 1.3×	65	991
Charles Rajesh Kumar. J Saudi Arabia	7	31 0.2×	226 2.2×	64 0.7×	19 0.2×	105 1.2×	13	667
Ali Abdulshahed Libya	12	43 0.3×	83 0.8×	80 0.8×	17 0.2×	28 0.3×	21	827
Yan Song China	13	23 0.1×	47 0.5×	31 0.3×	98 1.1×	83 1.0×	103	740

Countries citing papers authored by Lang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Lang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lang Wang

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

Li, Xiaoxu, Lang Wang, Rui Zhu, et al.. (2025). SRML: Structure-relation mutual learning network for few-shot image classification. Pattern Recognition. 168. 111822–111822. 1 indexed citations

Wang, Lang, et al.. (2024). The impact of digital transformation and earnings management on ESG performance: evidence from Chinese listed enterprises. Scientific Reports. 14(1). 783–783. 40 indexed citations breakdown →

Xu, Gang, Shuhao Wang, Xiao Chen, et al.. (2024). CAMEL2: Enhancing Weakly Supervised Learning for Histopathology Images by Incorporating the Significance Ratio. SHILAP Revista de lepidopterología. 6(8). 3 indexed citations

Chen, Yuqi, et al.. (2024). Predicting breast cancer molecular subtypes from H &E-stained histopathological images using a spatial-transcriptomics-based patch filter. Multimedia Tools and Applications. 84(30). 36543–36561. 1 indexed citations

Qu, Yi, Lang Wang, & Shen Zhong. (2024). How does fiscal transparency reduce SO2 emissions? Treating at the source. Environment Development and Sustainability. 27(8). 20383–20416. 1 indexed citations

Wang, Lang, et al.. (2024). Optimization Scheme of Measuring Accuracy of Bearing Seat Size Based on Machine Vision. 2(1). 223–235.

Ye, Feng, et al.. (2023). Does rural industrial integration improve agricultural productivity? Implications for sustainable food production. Frontiers in Sustainable Food Systems. 7. 29 indexed citations

Zhao, Yanli, Yujie Dong, Chen Zhang, et al.. (2023). Deep learning-based diagnosis of histopathological patterns for invasive non-mucinous lung adenocarcinoma using semantic segmentation. BMJ Open. 13(7). e069181–e069181. 5 indexed citations

Wang, Shuguang, et al.. (2022). The inhibitory effect of agricultural fiscal expenditure on agricultural green total factor productivity. Scientific Reports. 12(1). 20933–20933. 22 indexed citations

10.

Zhang, Xiaobo, Chen Wang, Qiting Li, et al.. (2022). Clinical-grade endometrial cancer detection system via whole-slide images using deep learning. Frontiers in Oncology. 12. 1040238–1040238. 9 indexed citations

11.

Zhong, Shen, et al.. (2022). Effects of special fiscal revenue on industrial pollution and the spatial spillover: evidence from 30 provinces in China. Environmental Science and Pollution Research. 29(32). 48312–48329. 5 indexed citations

12.

Wang, Shuhao, Ziyan Zhang, Huan Wu, et al.. (2022). Assessment of deep learning assistance for the pathological diagnosis of gastric cancer. Modern Pathology. 35(9). 1262–1268. 51 indexed citations

13.

Wu, Ziling, Juan Liu, Lang Wang, et al.. (2022). Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1616–1619. 2 indexed citations

14.

Wang, Lang, et al.. (2022). Few-Shot Classification With Feature Reconstruction Bias. 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 526–532. 1 indexed citations

15.

Wang, Lang. (2022). Travelling Route Recommendation Method Based on Graph Neural Network for Improving Travel Experience. Journal of Circuits Systems and Computers. 32(6). 6 indexed citations

16.

Sun, Yifan, et al.. (2021). Automatic Detection of Vehicle Targets Based on CenterNet Model. 6. 375–378. 3 indexed citations

17.

Wang, Lang, et al.. (2018). Dependency network of international oil trade before and after oil price drop. Energy. 165. 1021–1033. 38 indexed citations

18.

Wang, Lang, et al.. (2017). Clustering algorithm based on grid and density for data stream. AIP conference proceedings. 1839. 20202–20202. 3 indexed citations

19.

Yang, Qingqing, et al.. (2016). Road detection by RANSAC on randomly sampled patches with slanted plane prior. 929–933. 2 indexed citations

20.

Liu, Zhidan, Chong Zhang, Yuan Lu, et al.. (2012). States and challenges for high-value biohythane production from waste biomass by dark fermentation technology. Bioresource Technology. 135. 292–303. 175 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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