Tianjian Meng

1.1k total citations · 2 hit papers
4 papers, 587 citations indexed

About

Tianjian Meng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Tianjian Meng has authored 4 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Automotive Engineering. Recurrent topics in Tianjian Meng's work include Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Tianjian Meng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). Tianjian Meng collaborates with scholars based in United States, Canada and China. Tianjian Meng's co-authors include Huisheng Wang, Yin Cui, Ming–Hsuan Yang, Serge Belongie, Rui Qian, Boqing Gong, Alan Yuille, Adams Wei Yu, Jiquan Ngiam and Daiyi Peng and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Tianjian Meng

4 papers receiving 568 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.

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

2022 301 citations Yingwei Li, Adams Wei Yu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
Spatiotemporal Contrastive Video Representation Learning

2021 259 citations Rui Qian, Tianjian Meng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tianjian Meng United States	3	459	193	133	59	47	4	587
Yingwei Li United States	9	392 0.9×	215 1.1×	139 1.0×	55 0.9×	45 1.0×	15	568
Mingyu Ding China	15	682 1.5×	280 1.5×	236 1.8×	40 0.7×	36 0.8×	38	902
Anton Konushin Russia	13	446 1.0×	77 0.4×	98 0.7×	50 0.8×	66 1.4×	63	640
Wenzhao Zheng China	12	483 1.1×	199 1.0×	82 0.6×	33 0.6×	27 0.6×	31	640
Qingqiu Huang China	4	480 1.0×	94 0.5×	225 1.7×	61 1.0×	51 1.1×	6	612
François Rameau South Korea	13	555 1.2×	245 1.3×	142 1.1×	39 0.7×	40 0.9×	29	743
Yurong You United States	8	471 1.0×	137 0.7×	126 0.9×	31 0.5×	19 0.4×	10	544
Jiachen Li China	11	500 1.1×	179 0.9×	76 0.6×	30 0.5×	16 0.3×	21	694
Yohann Cabon South Korea	6	615 1.3×	118 0.6×	231 1.7×	67 1.1×	76 1.6×	11	776
Tengteng Huang China	7	930 2.0×	188 1.0×	203 1.5×	89 1.5×	69 1.5×	7	1.1k

Countries citing papers authored by Tianjian Meng

Since Specialization

Citations

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

Fields of papers citing papers by Tianjian Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianjian Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Tianjian Meng. A scholar is included among the top collaborators of Tianjian Meng 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 Tianjian Meng. Tianjian Meng 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:

4 of 4 papers shown

1.

Li, Yingwei, Adams Wei Yu, Tianjian Meng, et al.. (2022). DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17161–17170. 301 indexed citations breakdown →

2.

Qian, Rui, Tianjian Meng, Boqing Gong, et al.. (2021). Spatiotemporal Contrastive Video Representation Learning. 6960–6970. 259 indexed citations breakdown →

3.

Zhou, Denny, Chen Chen, Tianjian Meng, et al.. (2020). Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. arXiv (Cornell University). 1. 11546–11555. 2 indexed citations

4.

Shao, Wenqi, Tianjian Meng, Jingyu Li, et al.. (2019). SSN: Learning Sparse Switchable Normalization via SparsestMax. 443–451. 25 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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