Cong Nie

812 citations
37 papers · 514 · h-index 12

Impact in

Papers in

Cong Nie

35 papers receiving 508 citations

Peers

Cong Nie
Comparison fields: 5 of 111
  • Transportation 42
  • Radiology, Nuclear Medicine and Imaging 123
  • Pathology and Forensic Medicine 75
  • Media Technology 34
  • Building and Construction 48
Replace Noemi Scarpato with:
Noemi Scarpato Italy
Ding Zhang China
Javier Soriano Spain
Anand Panangadan United States
Jaehyuk Cho South Korea
Han Yuan Singapore
Yung‐Hsiang Hung Taiwan
Yanmin Lu China
Tsung-Hsien Tsai Taiwan
Cong Nie relative to Noemi Scarpato Italy Noemi Scarpato's profile →
Citations per field
00.5×10×
Noemi Scarpato · 1×
Citations per year

Countries citing papers authored by Cong Nie

Since Specialization
Citations

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

Fields of papers citing papers by Cong Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cong Nie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cong Nie Line = papers co-authored together Cong Nie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009129
2 202290
3 201635
4 201826
5 202025
6 202222
7 201620
8 201818
9 201618
10 201917
11 202316
12 202312
13 202210
14 20246
15 20216
16 20186
17 20226
18 20216
19 20155
20 20145

About Cong Nie

Cong Nie is a scholar working on Surgery, Pathology and Forensic Medicine, Pharmacology, Artificial Intelligence and Transportation, having authored 37 papers that have together received 514 indexed citations. Recurring topics across this work include Cervical and Thoracic Myelopathy (12 papers), Spine and Intervertebral Disc Pathology (7 papers), Musculoskeletal pain and rehabilitation (6 papers), Transportation Planning and Optimization (5 papers), Pulmonary Hypertension Research and Treatments (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Traffic Prediction and Management Techniques (3 papers) and Target Tracking and Data Fusion in Sensor Networks (3 papers). The work is most often cited by research in Transportation (42 citations), Radiology, Nuclear Medicine and Imaging (123 citations), Pathology and Forensic Medicine (75 citations), Media Technology (34 citations) and Building and Construction (48 citations). Cong Nie has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yunqing Tao, Liangliang Zhang, Yang Chen, Wufan Chen, Limin Luo, Xindao Yin, Chaojun Zheng, Wenbin Hu, Bo Du and Liping Yan. Their work appears in journals such as European Spine Journal, Clinical Neurophysiology, Frontiers in Neurology, World Wide Web and Neural Computing and Applications.

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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