Teng Long

1.5k citations
92 papers · 1.1k indexed · h-index 19

Teng Long

83 papers receiving 1.1k citations

Peers

Teng Long
Comparison fields: 5 of 90
  • Statistics, Probability and Uncertainty 208
  • Computational Theory and Mathematics 424
  • Aerospace Engineering 423
  • Management Science and Operations Research 140
  • Computer Vision and Pattern Recognition 185
Replace Karel Crombecq with:
Karel Crombecq Belgium
János D. Pintér Canada
Dirk Gorissen Belgium
Efstathios Bakolas United States
Matthias Gerdts Germany
Sándor M. Veres United Kingdom
Ilan M. Kroo United States
Zhenghong Gao China
Peter Gage United States
Eric Laermans Belgium
Teng Long relative to Karel Crombecq Belgium Karel Crombecq's profile →
Citations per field
00.5×7.1×
Karel Crombecq · 1×
Citations per year

Countries citing papers authored by Teng Long

Since Specialization
Citations

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

Fields of papers citing papers by Teng Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Teng Long, 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 Teng Long Line = papers co-authored together Teng Long links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20241
5 202115
6 202046
7 20197
8 201549
9 20148
10 201323
11
A Robust Multi-frequency Phase Unwrapping Method Based on Gradient Reconstruction
20132
12 201220
13
Reduced-Rank Cross-Spectral Metric Adaptive Beamforming Based on Derivative Constraint
20112
14
The Research on Some Parameterized Methods for Airfoil
20114
15 201159
16
Module Design and Implementation of SAR Signal Storage and Pretreatment Based On FPGA
20101
17
A Study on the Direct P-Code Acquisition of Weak Signal
20100
18
New Method for Modeling of Temporal-Spatial Correlated K-Distributed Clutter Based on Weighted Norm
20101
19
Research on Method of Simultaneously Range and Velocity Measuring with Variable PRT Stepped-Frequency Waveform
20100
20
Direct Acquisition of GPS P-Code Under Low-SNR
20091

About Teng Long

Teng Long is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Aerospace Engineering, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (36 papers), Probabilistic and Robust Engineering Design (17 papers), Metaheuristic Optimization Algorithms Research (11 papers), Topology Optimization in Engineering (9 papers), Robotic Path Planning Algorithms (9 papers), Radar Systems and Signal Processing (8 papers), Spacecraft Design and Technology (7 papers) and Distributed Control Multi-Agent Systems (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (208 citations), Computational Theory and Mathematics (424 citations) and Aerospace Engineering (423 citations). Teng Long has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Renhe Shi, Zhu Wang, Li Liu, Li Liu, Sārī Ḥanafī, Yufei Wu, Li Liu, Jingliang Sun, Peng Lei and G. Gary Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Methods in Applied Mechanics and Engineering and AIAA Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026