Yuchi Tian

1.9k total citations · 1 hit paper
19 papers, 1.0k citations indexed

About

Yuchi Tian is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yuchi Tian has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yuchi Tian's work include Adversarial Robustness in Machine Learning (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Advanced Neural Network Applications (3 papers). Yuchi Tian is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Advanced Neural Network Applications (3 papers). Yuchi Tian collaborates with scholars based in China, United States and Nigeria. Yuchi Tian's co-authors include Baishakhi Ray, Suman Jana, Kexin Pei, Seohyun Kim, Satish Chandra, Tao Chen, Bo Zhou, Jian Zheng, Wenjie Yang and Jun Wang and has published in prestigious journals such as Medical Physics, International Journal of COPD and ACM SIGOPS Operating Systems Review.

In The Last Decade

Yuchi Tian

19 papers receiving 1.0k citations

Hit Papers

DeepTest 2018 2026 2020 2023 2018 250 500 750
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.

  1. DeepTest
    2018 786 citations Yuchi Tian, Kexin Pei et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuchi Tian China 7 626 379 253 216 137 19 1.0k
Dawei Feng China 12 434 0.7× 95 0.3× 243 1.0× 162 0.8× 27 0.2× 64 1.1k
Lahouari Ghouti Saudi Arabia 18 376 0.6× 279 0.7× 367 1.5× 405 1.9× 11 0.1× 69 1.2k
Cees Witteveen Netherlands 18 536 0.9× 38 0.1× 76 0.3× 151 0.7× 55 0.4× 90 988
Fei Yan China 14 545 0.9× 24 0.1× 235 0.9× 113 0.5× 36 0.3× 64 888
Hui Lu China 15 340 0.5× 27 0.1× 181 0.7× 82 0.4× 25 0.2× 55 773
Santosh Singh Rathore India 17 307 0.5× 599 1.6× 768 3.0× 49 0.2× 9 0.1× 56 1.1k
Jian‐Wu Xu United States 15 429 0.7× 98 0.3× 182 0.7× 135 0.6× 5 0.0× 40 936
Jay Kumar China 16 582 0.9× 16 0.0× 324 1.3× 144 0.7× 34 0.2× 38 1.1k

Countries citing papers authored by Yuchi Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yuchi Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchi Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchi Tian. A scholar is included among the top collaborators of Yuchi Tian 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 Yuchi Tian. Yuchi Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wang, Nizhuan, et al.. (2024). MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction. Machine Vision and Applications. 35(4). 1 indexed citations
2.
3.
Zhao, Yu, et al.. (2023). Early Diagnosis of High-Risk Chronic Obstructive Pulmonary Disease Based on Quantitative High-Resolution Computed Tomography Measurements. International Journal of COPD. Volume 18. 3099–3114. 5 indexed citations
4.
Tian, Yuchi, et al.. (2022). Prediction of TACE Treatment Response in a Preoperative MRI via Analysis of Integrating Deep Learning and Radiomics Features. Journal of Medical and Biological Engineering. 42(2). 169–178. 11 indexed citations
5.
Tian, Yuchi, Yan Chang, & Xiaodong Yang. (2021). A patch-based and multi-instance learning strategy for pneumothorax classification on chest X-rays. Journal of Physics Conference Series. 1976(1). 12030–12030. 2 indexed citations
6.
Tian, Yuchi, et al.. (2021). Geographical distribution of liver cancer incidence based on big data analysis. Journal of Physics Conference Series. 1976(1). 12029–12029. 2 indexed citations
7.
Zheng, Chongwei, et al.. (2021). 21st Century Maritime Silk Road: Wind Energy Resource Evaluation. 6 indexed citations
8.
Tian, Yuchi & Xiaodong Yang. (2021). A Two-Stage Deep Learning Strategy for Pneumothorax Classification. 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 4. 1–6. 1 indexed citations
9.
Tian, Yuchi, Jiawei Wang, Wenjie Yang, Jun Wang, & Dahong Qian. (2021). Deep multi‐instance transfer learning for pneumothorax classification in chest X‐ray images. Medical Physics. 49(1). 231–243. 17 indexed citations
10.
Kim, Seohyun, et al.. (2021). Code Prediction by Feeding Trees to Transformers. 150–162. 125 indexed citations
11.
Tian, Yuchi, et al.. (2021). Evaluation of offshore wind power in the China sea. Energy Exploration & Exploitation. 39(5). 1803–1816. 9 indexed citations
12.
Tian, Yuchi, et al.. (2021). Assessing PD-L1 Expression Level via Preoperative MRI in HCC Based on Integrating Deep Learning and Radiomics Features. Diagnostics. 11(10). 1875–1875. 32 indexed citations
13.
Tian, Yuchi. (2021). Detect and Repair Errors for DNN-based Software. Columbia Academic Commons (Columbia University). 1 indexed citations
14.
Tian, Yuchi. (2020). Repairing confusion and bias errors for DNN-based image classifiers. 1699–1700. 1 indexed citations
15.
Tian, Yuchi, Ziyuan Zhong, Vicente Ordóñez, & Baishakhi Ray. (2019). Testing Deep Neural Network based Image Classifiers.. arXiv (Cornell University). 3 indexed citations
16.
Pei, Kexin, Shiqi Wang, Yuchi Tian, et al.. (2019). Bringing Engineering Rigor to Deep Learning. ACM SIGOPS Operating Systems Review. 53(1). 59–67. 3 indexed citations
17.
Tian, Yuchi, et al.. (2018). DeepTest: Automated Testing of Deep-Neural-Network-Driven Autonomous Cars. IEEE Conference Proceedings. 2018. 303–314. 2 indexed citations
18.
Tian, Yuchi, Kexin Pei, Suman Jana, & Baishakhi Ray. (2018). DeepTest. 303–314. 786 indexed citations breakdown →
19.
Tian, Yuchi & Baishakhi Ray. (2017). Automatically diagnosing and repairing error handling bugs in C. 752–762. 37 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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